image imagewidth (px) 320 320 | wrist imagewidth (px) 320 320 | conversations dict | annotation stringclasses 0 values |
|---|---|---|---|
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[115, 48], [142, 53], [150, 80], [152, 103], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ᨸ, ï¤Ĩ, íĥĻ, ëĸ°, íĵ¬, ðĸ¥, ðŁİij], [ìī¡, íķ±, âĻĻ, ᳬ, ðĿĻ®, áĽIJ, ðŁİij], [íĬŃ, íĥĻ, ðŁĨĴ, ðŁħ±, ðĿķį, ðĿļĦ, ðŁİij], [áĮ½, ëĸ°, ðŁĸ¶, Úİ, 臘, ðĿij³, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[120, 48], [144, 56], [150, 80], [152, 103], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìī¡, íķ±, âĻĻ, ᳬ, ðĿĻ®, áĽIJ, ðŁİij], [íĬŃ, íĥĻ, ðŁĨĴ, ðŁħ±, ðĿķį, ðĿļĦ, ðŁİij], [áĮ½, ëĸ°, ðŁĸ¶, Úİ, 臘, ðĿij³, ðŁİij], [ëĸ°, 맳, êĻĭ, Õĥ, ãĪª, ìĨĬ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[128, 49], [146, 60], [150, 86], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĬŃ, íĥĻ, ðŁĨĴ, ðŁħ±, ðĿķį, ðĿļĦ, ðŁİij], [áĮ½, ëĸ°, ðŁĸ¶, Úİ, 臘, ðĿij³, ðŁİij], [ëĸ°, 맳, êĻĭ, Õĥ, ãĪª, ìĨĬ, ðŁİij], [íģ», áĮ½, ðŁĸĩ, ì»ģ, áĴĮ, âĺµ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[136, 50], [146, 60], [150, 86], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮ½, ëĸ°, ðŁĸ¶, Úİ, 臘, ðĿij³, ðŁİij], [ëĸ°, 맳, êĻĭ, Õĥ, ãĪª, ìĨĬ, ðŁİij], [íģ», áĮ½, ðŁĸĩ, ì»ģ, áĴĮ, âĺµ, ðŁİij], [íģ», ìł°, ìŁĻ, ï¤Ĩ, áĭ©, ê²Ļ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[142, 53], [148, 65], [150, 91], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ëĸ°, 맳, êĻĭ, Õĥ, ãĪª, ìĨĬ, ðŁİij], [íģ», áĮ½, ðŁĸĩ, ì»ģ, áĴĮ, âĺµ, ðŁİij], [íģ», ìł°, ìŁĻ, ï¤Ĩ, áĭ©, ê²Ļ, ðŁİij], [ï¤ħ, ðŁķł, ðŁħ±, à°³, Ôij, ê³Ĥ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[144, 56], [150, 72], [150, 91], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», áĮ½, ðŁĸĩ, ì»ģ, áĴĮ, âĺµ, ðŁİij], [íģ», ìł°, ìŁĻ, ï¤Ĩ, áĭ©, ê²Ļ, ðŁİij], [ï¤ħ, ðŁķł, ðŁħ±, à°³, Ôij, ê³Ĥ, ðŁİij], [ðIJŃĵ, ðŁĶ¢, ìĦIJ, ðĿĵŀ, à¤ij, á¸ĥ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[146, 60], [150, 80], [150, 97], [158, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», ìł°, ìŁĻ, ï¤Ĩ, áĭ©, ê²Ļ, ðŁİij], [ï¤ħ, ðŁķł, ðŁħ±, à°³, Ôij, ê³Ĥ, ðŁİij], [ðIJŃĵ, ðŁĶ¢, ìĦIJ, ðĿĵŀ, à¤ij, á¸ĥ, ðŁİij], [ðĿĵŀ, âĦ¬, ë¡ij, áĪ¨, áĶĬ, áĮĦ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[148, 65], [150, 80], [150, 97], [158, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤ħ, ðŁķł, ðŁħ±, à°³, Ôij, ê³Ĥ, ðŁİij], [ðIJŃĵ, ðŁĶ¢, ìĦIJ, ðĿĵŀ, à¤ij, á¸ĥ, ðŁİij], [ðĿĵŀ, âĦ¬, ë¡ij, áĪ¨, áĶĬ, áĮĦ, ðŁİij], [ðĿĵŀ, ë¡ij, ë¯ij, ðIJ°¼, áĮĦ, áĴĮ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 72], [150, 86], [152, 103], [158, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJŃĵ, ðŁĶ¢, ìĦIJ, ðĿĵŀ, à¤ij, á¸ĥ, ðŁİij], [ðĿĵŀ, âĦ¬, ë¡ij, áĪ¨, áĶĬ, áĮĦ, ðŁİij], [ðĿĵŀ, ë¡ij, ë¯ij, ðIJ°¼, áĮĦ, áĴĮ, ðŁİij], [ðIJŃĵ, Ѩ, ðŁĵ¼, ⤦, à°³, á¨ģ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 80], [150, 91], [152, 103], [158, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, âĦ¬, ë¡ij, áĪ¨, áĶĬ, áĮĦ, ðŁİij], [ðĿĵŀ, ë¡ij, ë¯ij, ðIJ°¼, áĮĦ, áĴĮ, ðŁİij], [ðIJŃĵ, Ѩ, ðŁĵ¼, ⤦, à°³, á¨ģ, ðŁİij], [ìľ¾, áºĢ, Úİ, ⤦, áĬĴ, ì¼ĩ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 86], [150, 97], [155, 107], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, ë¡ij, ë¯ij, ðIJ°¼, áĮĦ, áĴĮ, ðŁİij], [ðIJŃĵ, Ѩ, ðŁĵ¼, ⤦, à°³, á¨ģ, ðŁİij], [ìľ¾, áºĢ, Úİ, ⤦, áĬĴ, ì¼ĩ, ðŁİij], [âļĹ, íĬŃ, ìı±, ï¤ħ, á¸ĥ, íĵ», ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 91], [150, 97], [155, 107], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJŃĵ, Ѩ, ðŁĵ¼, ⤦, à°³, á¨ģ, ðŁİij], [ìľ¾, áºĢ, Úİ, ⤦, áĬĴ, ì¼ĩ, ðŁİij], [âļĹ, íĬŃ, ìı±, ï¤ħ, á¸ĥ, íĵ», ðŁİij], [á¿IJ, áĨº, ìŤ, 맳, ãĪª, ï¥ł, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 97], [152, 103], [158, 110], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìľ¾, áºĢ, Úİ, ⤦, áĬĴ, ì¼ĩ, ðŁİij], [âļĹ, íĬŃ, ìı±, ï¤ħ, á¸ĥ, íĵ», ðŁİij], [á¿IJ, áĨº, ìŤ, 맳, ãĪª, ï¥ł, ðŁİij], [íģ», áĶŃ, ðŁĨĴ, ë¤Ĥ, áĮĦ, âļ£, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_30><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[152, 103], [155, 107], [158, 110], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļĹ, íĬŃ, ìı±, ï¤ħ, á¸ĥ, íĵ», ðŁİij], [á¿IJ, áĨº, ìŤ, 맳, ãĪª, ï¥ł, ðŁİij], [íģ», áĶŃ, ðŁĨĴ, ë¤Ĥ, áĮĦ, âļ£, ðŁİij], [ðĿĵ°, á¶ı, áĪĬ, áĶŃ, Ý¥, áĢı, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[155, 107], [158, 110], [159, 112], [159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¿IJ, áĨº, ìŤ, 맳, ãĪª, ï¥ł, ðŁİij], [íģ», áĶŃ, ðŁĨĴ, ë¤Ĥ, áĮĦ, âļ£, ðŁİij], [ðĿĵ°, á¶ı, áĪĬ, áĶŃ, Ý¥, áĢı, ðŁİij], [ðŁħ¢, ìĽ¢, âļĹ, âļĹ, Ýĵ, à¬ī, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[158, 110], [159, 112], [159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», áĶŃ, ðŁĨĴ, ë¤Ĥ, áĮĦ, âļ£, ðŁİij], [ðĿĵ°, á¶ı, áĪĬ, áĶŃ, Ý¥, áĢı, ðŁİij], [ðŁħ¢, ìĽ¢, âļĹ, âļĹ, Ýĵ, à¬ī, ðŁİij], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 112], [159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ°, á¶ı, áĪĬ, áĶŃ, Ý¥, áĢı, ðŁİij], [ðŁħ¢, ìĽ¢, âļĹ, âļĹ, Ýĵ, à¬ī, ðŁİij], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, ðĿĵŀ, áģ¼, Ôij, Ôij, ॱ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, ìĽ¢, âļĹ, âļĹ, Ýĵ, à¬ī, ðŁİij], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, ðĿĵŀ, áģ¼, Ôij, Ôij, ॱ, Ý¥], [ðŁħ¢, âĶŀ, âĽı, àłĮ, Ȳ, à¤ij, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, ðĿĵŀ, áģ¼, Ôij, Ôij, ॱ, Ý¥], [ðŁħ¢, âĶŀ, âĽı, àłĮ, Ȳ, à¤ij, Ý¥], [ÔĪ, âĿ«, â½Ĺ, â½Ĺ, ʶ, ðŁıĩ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 115], [163, 71], [123, 38], [65, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, ðĿĵŀ, áģ¼, Ôij, Ôij, ॱ, Ý¥], [ðŁħ¢, âĶŀ, âĽı, àłĮ, Ȳ, à¤ij, Ý¥], [ÔĪ, âĿ«, â½Ĺ, â½Ĺ, ʶ, ðŁıĩ, Ý¥], [Ý¥, â°İ, ãĩ½, â½Ĺ, Ýĵ, ðIJ°¼, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[160, 114], [163, 71], [123, 38], [65, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, âĶŀ, âĽı, àłĮ, Ȳ, à¤ij, Ý¥], [ÔĪ, âĿ«, â½Ĺ, â½Ĺ, ʶ, ðŁıĩ, Ý¥], [Ý¥, â°İ, ãĩ½, â½Ĺ, Ýĵ, ðIJ°¼, Ý¥], [à¤ij, â°į, âĩŀ, ãĦ§, à¬ī, ï¤Ĩ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[160, 111], [162, 57], [112, 39], [65, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ÔĪ, âĿ«, â½Ĺ, â½Ĺ, ʶ, ðŁıĩ, Ý¥], [Ý¥, â°İ, ãĩ½, â½Ĺ, Ýĵ, ðIJ°¼, Ý¥], [à¤ij, â°į, âĩŀ, ãĦ§, à¬ī, ï¤Ĩ, Ý¥], [à¤ij, â°ij, àºĤ, ðĿķ±, à°µ, íĵŃ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 103], [159, 44], [112, 39], [65, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, â°İ, ãĩ½, â½Ĺ, Ýĵ, ðIJ°¼, Ý¥], [à¤ij, â°į, âĩŀ, ãĦ§, à¬ī, ï¤Ĩ, Ý¥], [à¤ij, â°ij, àºĤ, ðĿķ±, à°µ, íĵŃ, Ý¥], [áĮĦ, âį¨, âĴł, áĶĬ, ÔĪ, á¿IJ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 93], [154, 37], [102, 39], [59, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¤ij, â°į, âĩŀ, ãĦ§, à¬ī, ï¤Ĩ, Ý¥], [à¤ij, â°ij, àºĤ, ðĿķ±, à°µ, íĵŃ, Ý¥], [áĮĦ, âį¨, âĴł, áĶĬ, ÔĪ, á¿IJ, Ý¥], [â²¢, â°Ĥ, âķĬ, ìŤ, ðIJ°¼, ðŁķĭ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 82], [154, 37], [102, 39], [59, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¤ij, â°ij, àºĤ, ðĿķ±, à°µ, íĵŃ, Ý¥], [áĮĦ, âį¨, âĴł, áĶĬ, ÔĪ, á¿IJ, Ý¥], [â²¢, â°Ĥ, âķĬ, ìŤ, ðIJ°¼, ðŁķĭ, Ý¥], [ì¼ĩ, ðĿķį, ê²´, ë¤Ĥ, ë±IJ, áĪĬ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_56><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[163, 71], [146, 37], [90, 39], [59, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âį¨, âĴł, áĶĬ, ÔĪ, á¿IJ, Ý¥], [â²¢, â°Ĥ, âķĬ, ìŤ, ðIJ°¼, ðŁķĭ, Ý¥], [ì¼ĩ, ðĿķį, ê²´, ë¤Ĥ, ë±IJ, áĪĬ, Ý¥], [ðĿķ¡, ï¤ħ, ï¨Ĥ, áĮĥ, áĪĬ, ï®ı, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 57], [135, 38], [90, 39], [59, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, â°Ĥ, âķĬ, ìŤ, ðIJ°¼, ðŁķĭ, Ý¥], [ì¼ĩ, ðĿķį, ê²´, ë¤Ĥ, ë±IJ, áĪĬ, Ý¥], [ðĿķ¡, ï¤ħ, ï¨Ĥ, áĮĥ, áĪĬ, ï®ı, Ý¥], [áĽIJ, ì»ģ, íĵĸ, ᨸ, ìī¡, 㳬, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 44], [123, 38], [82, 39], [52, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì¼ĩ, ðĿķį, ê²´, ë¤Ĥ, ë±IJ, áĪĬ, Ý¥], [ðĿķ¡, ï¤ħ, ï¨Ĥ, áĮĥ, áĪĬ, ï®ı, Ý¥], [áĽIJ, ì»ģ, íĵĸ, ᨸ, ìī¡, 㳬, Ý¥], [áļĮ, íķ±, ìľ¾, âĻĻ, ìĦIJ, ê¸ij, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[154, 37], [123, 38], [82, 39], [52, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķ¡, ï¤ħ, ï¨Ĥ, áĮĥ, áĪĬ, ï®ı, Ý¥], [áĽIJ, ì»ģ, íĵĸ, ᨸ, ìī¡, 㳬, Ý¥], [áļĮ, íķ±, ìľ¾, âĻĻ, ìĦIJ, ê¸ij, Ý¥], [áĽħ, 里, ⤦, âļĤ, ë»ħ, êĻĭ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[146, 37], [112, 39], [74, 38], [52, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĽIJ, ì»ģ, íĵĸ, ᨸ, ìī¡, 㳬, Ý¥], [áļĮ, íķ±, ìľ¾, âĻĻ, ìĦIJ, ê¸ij, Ý¥], [áĽħ, 里, ⤦, âļĤ, ë»ħ, êĻĭ, Ý¥], [âĽı, ðĿĵ°, á©ĭ, âļĤ, ⼤, áºĢ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[135, 38], [102, 39], [74, 38], [52, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áļĮ, íķ±, ìľ¾, âĻĻ, ìĦIJ, ê¸ij, Ý¥], [áĽħ, 里, ⤦, âļĤ, ë»ħ, êĻĭ, Ý¥], [âĽı, ðĿĵ°, á©ĭ, âļĤ, ⼤, áºĢ, Ý¥], [á¸Ĭ, Ȳ, áīIJ, âļĤ, ë¡ij, âĦ¬, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[123, 38], [90, 39], [65, 38], [44, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĽħ, 里, ⤦, âļĤ, ë»ħ, êĻĭ, Ý¥], [âĽı, ðĿĵ°, á©ĭ, âļĤ, ⼤, áºĢ, Ý¥], [á¸Ĭ, Ȳ, áīIJ, âļĤ, ë¡ij, âĦ¬, Ý¥], [ðĿĻ½, ÔĪ, áĪ¨, âļĹ, ì¥ī, ìī¡, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[112, 39], [90, 39], [65, 38], [44, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĽı, ðĿĵ°, á©ĭ, âļĤ, ⼤, áºĢ, Ý¥], [á¸Ĭ, Ȳ, áīIJ, âļĤ, ë¡ij, âĦ¬, Ý¥], [ðĿĻ½, ÔĪ, áĪ¨, âļĹ, ì¥ī, ìī¡, Ý¥], [ðĿĻ°, Ý¥, à½ħ, â¡¢, ðŁħ±, ìŤ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_30><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[102, 39], [82, 39], [59, 36], [44, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¸Ĭ, Ȳ, áīIJ, âļĤ, ë¡ij, âĦ¬, Ý¥], [ðĿĻ½, ÔĪ, áĪ¨, âļĹ, ì¥ī, ìī¡, Ý¥], [ðĿĻ°, Ý¥, à½ħ, â¡¢, ðŁħ±, ìŤ, Ý¥], [ðĿĺı, à¬ī, à´´, ëĸ°, Éĺ, ìł°, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[90, 39], [74, 38], [59, 36], [44, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ½, ÔĪ, áĪ¨, âļĹ, ì¥ī, ìī¡, Ý¥], [ðĿĻ°, Ý¥, à½ħ, â¡¢, ðŁħ±, ìŤ, Ý¥], [ðĿĺı, à¬ī, à´´, ëĸ°, Éĺ, ìł°, Ý¥], [ðĿĵ¾, áī¨, á©ĭ, íķ±, áĪ¾, ï®ı, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[82, 39], [65, 38], [52, 34], [39, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ°, Ý¥, à½ħ, â¡¢, ðŁħ±, ìŤ, Ý¥], [ðĿĺı, à¬ī, à´´, ëĸ°, Éĺ, ìł°, Ý¥], [ðĿĵ¾, áī¨, á©ĭ, íķ±, áĪ¾, ï®ı, Ý¥], [ðĿĶĵ, áĶĬ, âļĹ, ðĿĵŀ, áīIJ, ì¥ī, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_125><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[74, 38], [65, 38], [52, 34], [39, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺı, à¬ī, à´´, ëĸ°, Éĺ, ìł°, Ý¥], [ðĿĵ¾, áī¨, á©ĭ, íķ±, áĪ¾, ï®ı, Ý¥], [ðĿĶĵ, áĶĬ, âļĹ, ðĿĵŀ, áīIJ, ì¥ī, Ý¥], [ðĿĶĵ, âļ£, ìľ¾, Ý¥, áĮ½, ìŁĻ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[65, 38], [59, 36], [44, 31], [39, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¾, áī¨, á©ĭ, íķ±, áĪ¾, ï®ı, Ý¥], [ðĿĶĵ, áĶĬ, âļĹ, ðĿĵŀ, áīIJ, ì¥ī, Ý¥], [ðĿĶĵ, âļ£, ìľ¾, Ý¥, áĮ½, ìŁĻ, Ý¥], [íĵ», áĬĴ, íģ», ðĿĻľ, â¡¢, áĪĬ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[59, 36], [52, 34], [44, 31], [39, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĶĵ, áĶĬ, âļĹ, ðĿĵŀ, áīIJ, ì¥ī, Ý¥], [ðĿĶĵ, âļ£, ìľ¾, Ý¥, áĮ½, ìŁĻ, Ý¥], [íĵ», áĬĴ, íģ», ðĿĻľ, â¡¢, áĪĬ, Ý¥], [áģ¼, Ôij, ðIJŃĵ, ðIJŃĵ, ðĿĵ°, ï¤ħ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[52, 34], [44, 31], [39, 29], [36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĶĵ, âļ£, ìľ¾, Ý¥, áĮ½, ìŁĻ, Ý¥], [íĵ», áĬĴ, íģ», ðĿĻľ, â¡¢, áĪĬ, Ý¥], [áģ¼, Ôij, ðIJŃĵ, ðIJŃĵ, ðĿĵ°, ï¤ħ, Ý¥], [ðŁħ¢, 里, íĵŃ, ìĽ¢, Ý¥, à¤ij, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[44, 31], [39, 29], [36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ», áĬĴ, íģ», ðĿĻľ, â¡¢, áĪĬ, Ý¥], [áģ¼, Ôij, ðIJŃĵ, ðIJŃĵ, ðĿĵ°, ï¤ħ, Ý¥], [ðŁħ¢, 里, íĵŃ, ìĽ¢, Ý¥, à¤ij, Ý¥], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[39, 29], [36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áģ¼, Ôij, ðIJŃĵ, ðIJŃĵ, ðĿĵ°, ï¤ħ, Ý¥], [ðŁħ¢, 里, íĵŃ, ìĽ¢, Ý¥, à¤ij, Ý¥], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij], [ðŁħ±, âļĤ, íĵ®, ï¨Ĥ, ðĿĸĸ, ðĿĻ¸, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, 里, íĵŃ, ìĽ¢, Ý¥, à¤ij, Ý¥], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij], [ðŁħ±, âļĤ, íĵ®, ï¨Ĥ, ðĿĸĸ, ðĿĻ¸, ðŁİij], [ðŁİij, íĬŃ, ðĿļĦ, ì³ħ, â¼Ń, â½Ĺ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij], [ðŁħ±, âļĤ, íĵ®, ï¨Ĥ, ðĿĸĸ, ðĿĻ¸, ðŁİij], [ðŁİij, íĬŃ, ðĿļĦ, ì³ħ, â¼Ń, â½Ĺ, ðŁİij], [ðŁİij, ðŁħ±, ðĸ¥¨, ìĿ¿, â°¡, â½Ĺ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[115, 48], [142, 54], [150, 81], [152, 104], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĪ¨, ï¤ħ, íģ», ⤦, ïŃ², ðĿĶĵ, ðŁİij], [ìī¡, íĵŃ, á¶ı, áĮĥ, ðĿĻ®, áĽIJ, ðŁİij], [ï®ı, ì»ģ, ì¥ī, ì¥ī, ðĿĶĵ, ðĿĻ½, ðŁİij], [ᳬ, ë¤Ĥ, á¡Į, áºĢ, íĵ¶, ðIJ±ħ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[121, 48], [144, 57], [150, 81], [152, 104], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìī¡, íĵŃ, á¶ı, áĮĥ, ðĿĻ®, áĽIJ, ðŁİij], [ï®ı, ì»ģ, ì¥ī, ì¥ī, ðĿĶĵ, ðĿĻ½, ðŁİij], [ᳬ, ë¤Ĥ, á¡Į, áºĢ, íĵ¶, ðIJ±ħ, ðŁİij], [맳, ⤦, Ḱ, Õĥ, âļ£, ê²´, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[130, 49], [147, 61], [150, 87], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï®ı, ì»ģ, ì¥ī, ì¥ī, ðĿĶĵ, ðĿĻ½, ðŁİij], [ᳬ, ë¤Ĥ, á¡Į, áºĢ, íĵ¶, ðIJ±ħ, ðŁİij], [맳, ⤦, Ḱ, Õĥ, âļ£, ê²´, ðŁİij], [íģ», áĮ½, Ḱ, ï¦ĥ, áĴĮ, âļ£, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[138, 51], [147, 61], [150, 87], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ᳬ, ë¤Ĥ, á¡Į, áºĢ, íĵ¶, ðIJ±ħ, ðŁİij], [맳, ⤦, Ḱ, Õĥ, âļ£, ê²´, ðŁİij], [íģ», áĮ½, Ḱ, ï¦ĥ, áĴĮ, âļ£, ðŁİij], [íģ», ìĭ², íĬŃ, ï¦ĥ, áī¨, ê²´, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[142, 54], [148, 66], [150, 92], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[맳, ⤦, Ḱ, Õĥ, âļ£, ê²´, ðŁİij], [íģ», áĮ½, Ḱ, ï¦ĥ, áĴĮ, âļ£, ðŁİij], [íģ», ìĭ², íĬŃ, ï¦ĥ, áī¨, ê²´, ðŁİij], [ï¤Ĩ, ðŁķļ, íķ®, áĢı, ʶ, ê²´, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[144, 57], [150, 73], [150, 92], [155, 107], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», áĮ½, Ḱ, ï¦ĥ, áĴĮ, âļ£, ðŁİij], [íģ», ìĭ², íĬŃ, ï¦ĥ, áī¨, ê²´, ðŁİij], [ï¤Ĩ, ðŁķļ, íķ®, áĢı, ʶ, ê²´, ðŁİij], [ðIJ°¼, ðŁĶ©, ë»ħ, ï¤ħ, à°µ, á¨ģ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[147, 61], [150, 81], [150, 98], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», ìĭ², íĬŃ, ï¦ĥ, áī¨, ê²´, ðŁİij], [ï¤Ĩ, ðŁķļ, íķ®, áĢı, ʶ, ê²´, ðŁİij], [ðIJ°¼, ðŁĶ©, ë»ħ, ï¤ħ, à°µ, á¨ģ, ðŁİij], [ðĿĵŀ, âļ§, ëĹį, áĪ¾, áłĦ, áĮĦ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[148, 66], [150, 81], [150, 98], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤Ĩ, ðŁķļ, íķ®, áĢı, ʶ, ê²´, ðŁİij], [ðIJ°¼, ðŁĶ©, ë»ħ, ï¤ħ, à°µ, á¨ģ, ðŁİij], [ðĿĵŀ, âļ§, ëĹį, áĪ¾, áłĦ, áĮĦ, ðŁİij], [ðĿĵŀ, ëĹį, ëĶī, ðŁħ¢, áĭ©, áĶħ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 73], [150, 87], [152, 104], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJ°¼, ðŁĶ©, ë»ħ, ï¤ħ, à°µ, á¨ģ, ðŁİij], [ðĿĵŀ, âļ§, ëĹį, áĪ¾, áłĦ, áĮĦ, ðŁİij], [ðĿĵŀ, ëĹį, ëĶī, ðŁħ¢, áĭ©, áĶħ, ðŁİij], [ðIJ¤Ķ, ðŁĸij, ðŁĴº, ᨸ, à°³, ḻ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 81], [150, 92], [152, 104], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, âļ§, ëĹį, áĪ¾, áłĦ, áĮĦ, ðŁİij], [ðĿĵŀ, ëĹį, ëĶī, ðŁħ¢, áĭ©, áĶħ, ðŁİij], [ðIJ¤Ķ, ðŁĸij, ðŁĴº, ᨸ, à°³, ḻ, ðŁİij], [ë±ĭ, ⼤, âĦ¬, ìľ¾, áĮĦ, íĵ¬, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 87], [150, 98], [155, 107], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, ëĹį, ëĶī, ðŁħ¢, áĭ©, áĶħ, ðŁİij], [ðIJ¤Ķ, ðŁĸij, ðŁĴº, ᨸ, à°³, ḻ, ðŁİij], [ë±ĭ, ⼤, âĦ¬, ìľ¾, áĮĦ, íĵ¬, ðŁİij], [âļĤ, ï®ı, ìĭ², íĵĸ, âĶŀ, 臘, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 92], [150, 98], [155, 107], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJ¤Ķ, ðŁĸij, ðŁĴº, ᨸ, à°³, ḻ, ðŁİij], [ë±ĭ, ⼤, âĦ¬, ìľ¾, áĮĦ, íĵ¬, ðŁİij], [âļĤ, ï®ı, ìĭ², íĵĸ, âĶŀ, 臘, ðŁİij], [âĻĻ, áĪ¨, ìĿ©, ë±ĭ, â²¢, 臘, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 98], [152, 104], [159, 110], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ë±ĭ, ⼤, âĦ¬, ìľ¾, áĮĦ, íĵ¬, ðŁİij], [âļĤ, ï®ı, ìĭ², íĵĸ, âĶŀ, 臘, ðŁİij], [âĻĻ, áĪ¨, ìĿ©, ë±ĭ, â²¢, 臘, ðŁİij], [íĵŃ, ᳬ, Êĵ, ëĸ°, áī¨, á¸ĥ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[152, 104], [155, 107], [159, 110], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļĤ, ï®ı, ìĭ², íĵĸ, âĶŀ, 臘, ðŁİij], [âĻĻ, áĪ¨, ìĿ©, ë±ĭ, â²¢, 臘, ðŁİij], [íĵŃ, ᳬ, Êĵ, ëĸ°, áī¨, á¸ĥ, ðŁİij], [ðĿĻľ, á¶ı, áĨº, áĪ¾, Ýĵ, à²Ł, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[155, 107], [159, 110], [159, 112], [159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĻĻ, áĪ¨, ìĿ©, ë±ĭ, â²¢, 臘, ðŁİij], [íĵŃ, ᳬ, Êĵ, ëĸ°, áī¨, á¸ĥ, ðŁİij], [ðĿĻľ, á¶ı, áĨº, áĪ¾, Ýĵ, à²Ł, ðŁİij], [ðŁħ¢, íģ», ë±ĭ, 맳, Ýĵ, ॱ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 110], [159, 112], [159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵŃ, ᳬ, Êĵ, ëĸ°, áī¨, á¸ĥ, ðŁİij], [ðĿĻľ, á¶ı, áĨº, áĪ¾, Ýĵ, à²Ł, ðŁİij], [ðŁħ¢, íģ», ë±ĭ, 맳, Ýĵ, ॱ, ðŁİij], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 112], [159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, á¶ı, áĨº, áĪ¾, Ýĵ, à²Ł, ðŁİij], [ðŁħ¢, íģ», ë±ĭ, 맳, Ýĵ, ॱ, ðŁİij], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, ðĿļģ, áĶĬ, à²Ł, Ôij, ॱ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 114], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, íģ», ë±ĭ, 맳, Ýĵ, ॱ, ðŁİij], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, ðĿļģ, áĶĬ, à²Ł, Ôij, ॱ, Ý¥], [ðŁıĩ, ì¼ĩ, âĨ¤, ãĦ§, Ȳ, Ý¥, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, ðĿļģ, áĶĬ, à²Ł, Ôij, ॱ, Ý¥], [ðŁıĩ, ì¼ĩ, âĨ¤, ãĦ§, Ȳ, Ý¥, Ý¥], [Ôij, ê¦Ķ, â½Ĺ, â½Ĺ, ÔĪ, ðŁħ¢, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[159, 115], [163, 69], [121, 38], [64, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, ðĿļģ, áĶĬ, à²Ł, Ôij, ॱ, Ý¥], [ðŁıĩ, ì¼ĩ, âĨ¤, ãĦ§, Ȳ, Ý¥, Ý¥], [Ôij, ê¦Ķ, â½Ĺ, â½Ĺ, ÔĪ, ðŁħ¢, Ý¥], [Ý¥, â°IJ, ⽺, â½Ĺ, Ý¥, ðIJŃĵ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[160, 114], [163, 69], [121, 38], [64, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁıĩ, ì¼ĩ, âĨ¤, ãĦ§, Ȳ, Ý¥, Ý¥], [Ôij, ê¦Ķ, â½Ĺ, â½Ĺ, ÔĪ, ðŁħ¢, Ý¥], [Ý¥, â°IJ, ⽺, â½Ĺ, Ý¥, ðIJŃĵ, Ý¥], [à¤ij, â°į, á¥Ķ, âĶ½, à¬ī, ï¤ħ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[160, 110], [162, 55], [111, 39], [64, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ôij, ê¦Ķ, â½Ĺ, â½Ĺ, ÔĪ, ðŁħ¢, Ý¥], [Ý¥, â°IJ, ⽺, â½Ĺ, Ý¥, ðIJŃĵ, Ý¥], [à¤ij, â°į, á¥Ķ, âĶ½, à¬ī, ï¤ħ, Ý¥], [ॱ, â°Ł, ᥤ, ðĿķ¡, à°³, íĵĸ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 102], [158, 42], [111, 39], [64, 38], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, â°IJ, ⽺, â½Ĺ, Ý¥, ðIJŃĵ, Ý¥], [à¤ij, â°į, á¥Ķ, âĶ½, à¬ī, ï¤ħ, Ý¥], [ॱ, â°Ł, ᥤ, ðĿķ¡, à°³, íĵĸ, Ý¥], [áIJ§, ï¨Ĭ, â°¡, Ȳ, ʶ, ᳬ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 91], [152, 37], [99, 39], [58, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¤ij, â°į, á¥Ķ, âĶ½, à¬ī, ï¤ħ, Ý¥], [ॱ, â°Ł, ᥤ, ðĿķ¡, à°³, íĵĸ, Ý¥], [áIJ§, ï¨Ĭ, â°¡, Ȳ, ʶ, ᳬ, Ý¥], [䶵, ðĵı§, àłĮ, ìł°, ï¨Ĥ, ðŁĨĴ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 80], [152, 37], [99, 39], [58, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ॱ, â°Ł, ᥤ, ðĿķ¡, à°³, íĵĸ, Ý¥], [áIJ§, ï¨Ĭ, â°¡, Ȳ, ʶ, ᳬ, Ý¥], [䶵, ðĵı§, àłĮ, ìł°, ï¨Ĥ, ðŁĨĴ, Ý¥], [íĵ¬, íĵ», ḻ, ë±IJ, ëĸ°, áĪ¾, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[163, 69], [144, 37], [88, 39], [58, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áIJ§, ï¨Ĭ, â°¡, Ȳ, ʶ, ᳬ, Ý¥], [䶵, ðĵı§, àłĮ, ìł°, ï¨Ĥ, ðŁĨĴ, Ý¥], [íĵ¬, íĵ», ḻ, ë±IJ, ëĸ°, áĪ¾, Ý¥], [ðĿĻ®, íģ», ï¤ħ, áĪ¨, Éĺ, ìĿ¿, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[162, 55], [132, 38], [88, 39], [58, 36], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[䶵, ðĵı§, àłĮ, ìł°, ï¨Ĥ, ðŁĨĴ, Ý¥], [íĵ¬, íĵ», ḻ, ë±IJ, ëĸ°, áĪ¾, Ý¥], [ðĿĻ®, íģ», ï¤ħ, áĪ¨, Éĺ, ìĿ¿, Ý¥], [áĽIJ, íģ», íĵĸ, á¶ı, ìī¡, ⼤, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[158, 42], [121, 38], [80, 39], [51, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, íĵ», ḻ, ë±IJ, ëĸ°, áĪ¾, Ý¥], [ðĿĻ®, íģ», ï¤ħ, áĪ¨, Éĺ, ìĿ¿, Ý¥], [áĽIJ, íģ», íĵĸ, á¶ı, ìī¡, ⼤, Ý¥], [áĻ³, íĽľ, ìĽ¢, âĻĻ, ìī¡, ëĶī, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[152, 37], [121, 38], [80, 39], [51, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ®, íģ», ï¤ħ, áĪ¨, Éĺ, ìĿ¿, Ý¥], [áĽIJ, íģ», íĵĸ, á¶ı, ìī¡, ⼤, Ý¥], [áĻ³, íĽľ, ìĽ¢, âĻĻ, ìī¡, ëĶī, Ý¥], [á¤Ĭ, ï¨Ĥ, âļĹ, âļĤ, ëĹį, 㳬, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[144, 37], [111, 39], [72, 38], [51, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĽIJ, íģ», íĵĸ, á¶ı, ìī¡, ⼤, Ý¥], [áĻ³, íĽľ, ìĽ¢, âĻĻ, ìī¡, ëĶī, Ý¥], [á¤Ĭ, ï¨Ĥ, âļĹ, âļĤ, ëĹį, 㳬, Ý¥], [âĽı, ðĿĻľ, ᳬ, âļĤ, 㳬, áºĢ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[132, 38], [99, 39], [72, 38], [51, 34], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĻ³, íĽľ, ìĽ¢, âĻĻ, ìī¡, ëĶī, Ý¥], [á¤Ĭ, ï¨Ĥ, âļĹ, âļĤ, ëĹį, 㳬, Ý¥], [âĽı, ðĿĻľ, ᳬ, âļĤ, 㳬, áºĢ, Ý¥], [áĽIJ, Ȳ, áĪ¾, âļĤ, ë»ħ, ⼤, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[121, 38], [88, 39], [64, 38], [43, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¤Ĭ, ï¨Ĥ, âļĹ, âļĤ, ëĹį, 㳬, Ý¥], [âĽı, ðĿĻľ, ᳬ, âļĤ, 㳬, áºĢ, Ý¥], [áĽIJ, Ȳ, áĪ¾, âļĤ, ë»ħ, ⼤, Ý¥], [ðĿĻº, Ôij, áĪ¨, â¡¢, íĬŃ, ìĭ², Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[111, 39], [88, 39], [64, 38], [43, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĽı, ðĿĻľ, ᳬ, âļĤ, 㳬, áºĢ, Ý¥], [áĽIJ, Ȳ, áĪ¾, âļĤ, ë»ħ, ⼤, Ý¥], [ðĿĻº, Ôij, áĪ¨, â¡¢, íĬŃ, ìĭ², Ý¥], [ðĿĻ°, à¤ij, à´´, â¡¢, ðŁħ±, ìĿ©, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[99, 39], [80, 39], [58, 36], [43, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĽIJ, Ȳ, áĪ¾, âļĤ, ë»ħ, ⼤, Ý¥], [ðĿĻº, Ôij, áĪ¨, â¡¢, íĬŃ, ìĭ², Ý¥], [ðĿĻ°, à¤ij, à´´, â¡¢, ðŁħ±, ìĿ©, Ý¥], [ðĿĸĸ, à°³, áĨº, 맳, Êĵ, ì¥ī, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[88, 39], [72, 38], [58, 36], [43, 31], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻº, Ôij, áĪ¨, â¡¢, íĬŃ, ìĭ², Ý¥], [ðĿĻ°, à¤ij, à´´, â¡¢, ðŁħ±, ìĿ©, Ý¥], [ðĿĸĸ, à°³, áĨº, 맳, Êĵ, ì¥ī, Ý¥], [ðĿĵ¾, áĬĴ, á¶ı, íĽľ, áĪ¾, ï®ı, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[80, 39], [64, 38], [51, 34], [38, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ°, à¤ij, à´´, â¡¢, ðŁħ±, ìĿ©, Ý¥], [ðĿĸĸ, à°³, áĨº, 맳, Êĵ, ì¥ī, Ý¥], [ðĿĵ¾, áĬĴ, á¶ı, íĽľ, áĪ¾, ï®ı, Ý¥], [ðĿķį, á¨ģ, ëĸ°, ðĿļģ, áīIJ, ìł°, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_84><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[72, 38], [64, 38], [51, 34], [38, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĸĸ, à°³, áĨº, 맳, Êĵ, ì¥ī, Ý¥], [ðĿĵ¾, áĬĴ, á¶ı, íĽľ, áĪ¾, ï®ı, Ý¥], [ðĿķį, á¨ģ, ëĸ°, ðĿļģ, áīIJ, ìł°, Ý¥], [ðĿĵ¾, âĶŀ, ìĽ¢, Ôij, áĶŃ, ìł°, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[64, 38], [58, 36], [43, 31], [38, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¾, áĬĴ, á¶ı, íĽľ, áĪ¾, ï®ı, Ý¥], [ðĿķį, á¨ģ, ëĸ°, ðĿļģ, áīIJ, ìł°, Ý¥], [ðĿĵ¾, âĶŀ, ìĽ¢, Ôij, áĶŃ, ìł°, Ý¥], [íĭį, áģ¼, íĵĸ, ðĿĻľ, 맳, áĮĥ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[58, 36], [51, 34], [43, 31], [38, 29], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķį, á¨ģ, ëĸ°, ðĿļģ, áīIJ, ìł°, Ý¥], [ðĿĵ¾, âĶŀ, ìĽ¢, Ôij, áĶŃ, ìł°, Ý¥], [íĭį, áģ¼, íĵĸ, ðĿĻľ, 맳, áĮĥ, Ý¥], [à¬ī, Ȳ, ðIJŃĵ, ï¨Ĥ, ðŁıĩ, ðIJŃĵ, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[51, 34], [43, 31], [38, 29], [36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¾, âĶŀ, ìĽ¢, Ôij, áĶŃ, ìł°, Ý¥], [íĭį, áģ¼, íĵĸ, ðĿĻľ, 맳, áĮĥ, Ý¥], [à¬ī, Ȳ, ðIJŃĵ, ï¨Ĥ, ðŁıĩ, ðIJŃĵ, Ý¥], [ðŁħ¢, ï¦ĥ, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[43, 31], [38, 29], [36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĭį, áģ¼, íĵĸ, ðĿĻľ, 맳, áĮĥ, Ý¥], [à¬ī, Ȳ, ðIJŃĵ, ï¨Ĥ, ðŁıĩ, ðIJŃĵ, Ý¥], [ðŁħ¢, ï¦ĥ, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[38, 29], [36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¬ī, Ȳ, ðIJŃĵ, ï¨Ĥ, ðŁıĩ, ðIJŃĵ, Ý¥], [ðŁħ¢, ï¦ĥ, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij], [ìĭ², á©ĭ, ï¥ł, ï¤Ĩ, ðĿĻ½, áĽħ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[36, 28], [36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, ï¦ĥ, íĵĸ, ë±IJ, Ý¥, à¤ij, Ý¥], [ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij], [ìĭ², á©ĭ, ï¥ł, ï¤Ĩ, ðĿĻ½, áĽħ, ðŁİij], [ðŁİij, ì¥ī, ðĿļı, ë±IJ, ï¨Ĭ, â½Ĺ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_84><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 1. The subtask goals are: place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[36, 28]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, 里, íĵĸ, ë±IJ, Ý¥, à¤ij, ðŁİij], [ìĭ², á©ĭ, ï¥ł, ï¤Ĩ, ðĿĻ½, áĽħ, ðŁİij], [ðŁİij, ì¥ī, ðĿļı, ë±IJ, ï¨Ĭ, â½Ĺ, ðŁİij], [ðŁİij, ðŁķĭ, 臘, ë¯ij, â°Ĥ, â½Ĺ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[116, 48], [143, 54], [150, 82], [152, 104], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Éĺ, ï¤ħ, ì»ģ, â¡¢, ðĿĵķ, ðĿĻ®, ðŁİij], [ìĭ², íĵŃ, áĮ½, áĪĬ, ðĿĻ®, áĽIJ, ðŁİij], [ðŁķĭ, ìľ¾, ìī¡, ìı±, ðĿĵ¬, ðĿĻ°, ðŁİij], [á¶ı, ë±ĭ, ⼤, êĻĭ, íĵ¬, 辰, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[123, 48], [144, 58], [150, 82], [152, 104], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĭ², íĵŃ, áĮ½, áĪĬ, ðĿĻ®, áĽIJ, ðŁİij], [ðŁķĭ, ìľ¾, ìī¡, ìı±, ðĿĵ¬, ðĿĻ°, ðŁİij], [á¶ı, ë±ĭ, ⼤, êĻĭ, íĵ¬, 辰, ðŁİij], [ìĽ¢, á¿ļ, ðŁķŀ, à´´, âĶŀ, ãĪª, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[131, 49], [147, 61], [150, 87], [156, 108], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķĭ, ìľ¾, ìī¡, ìı±, ðĿĵ¬, ðĿĻ°, ðŁİij], [á¶ı, ë±ĭ, ⼤, êĻĭ, íĵ¬, 辰, ðŁİij], [ìĽ¢, á¿ļ, ðŁķŀ, à´´, âĶŀ, ãĪª, ðŁİij], [íģ», áĮĥ, ê¸ij, ðĿĻľ, áĴĮ, â²¢, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[138, 51], [147, 61], [150, 87], [156, 108], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¶ı, ë±ĭ, ⼤, êĻĭ, íĵ¬, 辰, ðŁİij], [ìĽ¢, á¿ļ, ðŁķŀ, à´´, âĶŀ, ãĪª, ðŁİij], [íģ», áĮĥ, ê¸ij, ðĿĻľ, áĴĮ, â²¢, ðŁİij], [íĥĻ, ëĹį, ï®ı, ï¨Ĥ, áĢı, ê³Ĥ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[143, 54], [148, 67], [150, 93], [156, 108], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĽ¢, á¿ļ, ðŁķŀ, à´´, âĶŀ, ãĪª, ðŁİij], [íģ», áĮĥ, ê¸ij, ðĿĻľ, áĴĮ, â²¢, ðŁİij], [íĥĻ, ëĹį, ï®ı, ï¨Ĥ, áĢı, ê³Ĥ, ðŁİij], [ï¦ĥ, ðŁĶ¤, ì¥ī, áĢı, Ȳ, ê²Ļ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[144, 58], [150, 75], [150, 93], [156, 108], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», áĮĥ, ê¸ij, ðĿĻľ, áĴĮ, â²¢, ðŁİij], [íĥĻ, ëĹį, ï®ı, ï¨Ĥ, áĢı, ê³Ĥ, ðŁİij], [ï¦ĥ, ðŁĶ¤, ì¥ī, áĢı, Ȳ, ê²Ļ, ðŁİij], [ðĿĵŀ, ðŁķľ, ëĹį, ë±ĭ, áī¨, áĶĬ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[147, 61], [150, 82], [151, 99], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĥĻ, ëĹį, ï®ı, ï¨Ĥ, áĢı, ê³Ĥ, ðŁİij], [ï¦ĥ, ðŁĶ¤, ì¥ī, áĢı, Ȳ, ê²Ļ, ðŁİij], [ðĿĵŀ, ðŁķľ, ëĹį, ë±ĭ, áī¨, áĶĬ, ðŁİij], [ðĿĵ°, ëĶī, ë»ħ, áłĤ, áłĦ, áĮĦ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[148, 67], [150, 82], [151, 99], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¦ĥ, ðŁĶ¤, ì¥ī, áĢı, Ȳ, ê²Ļ, ðŁİij], [ðĿĵŀ, ðŁķľ, ëĹį, ë±ĭ, áī¨, áĶĬ, ðŁİij], [ðĿĵ°, ëĶī, ë»ħ, áłĤ, áłĦ, áĮĦ, ðŁİij], [ðĿĵŀ, ëĶī, âļ§, Ȳ, áī¨, áĶĬ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 75], [150, 87], [152, 104], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, ðŁķľ, ëĹį, ë±ĭ, áī¨, áĶĬ, ðŁİij], [ðĿĵ°, ëĶī, ë»ħ, áłĤ, áłĦ, áĮĦ, ðŁİij], [ðĿĵŀ, ëĶī, âļ§, Ȳ, áī¨, áĶĬ, ðŁİij], [里, ðŁĸĩ, ðŁĵª, áĮ½, à¬ī, âĺµ, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 82], [150, 93], [152, 104], [159, 110], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ°, ëĶī, ë»ħ, áłĤ, áłĦ, áĮĦ, ðŁİij], [ðĿĵŀ, ëĶī, âļ§, Ȳ, áī¨, áĶĬ, ðŁİij], [里, ðŁĸĩ, ðŁĵª, áĮ½, à¬ī, âĺµ, ðŁİij], [맳, ëĹį, ê¸ij, íĵŃ, áIJ§, íĵ®, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 87], [151, 99], [156, 108], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, ëĶī, âļ§, Ȳ, áī¨, áĶĬ, ðŁİij], [里, ðŁĸĩ, ðŁĵª, áĮ½, à¬ī, âĺµ, ðŁİij], [맳, ëĹį, ê¸ij, íĵŃ, áIJ§, íĵ®, ðŁİij], [âĻĻ, ðŁĨĴ, ìĭ², ì³ħ, âļ£, 臘, ðŁİij]]."
]
} | null | ||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the toy and place it in the basket. What is the action that the robot should take. To figure out the action that the robot should take to pick up the toy and place it in the basket, let's think through it step by step. First, what is the depth map for the first image? Second, how many subtasks are needed to complete this task, what is the semantic description of each subtask, and what are the goal positions for each subtask? Third, what is the trajectory of the end effector in the first image to reach the next subtask goal? Based on the depth map of the first image, the semantic description and goal position of each subtask, the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_END>. The number of subtasks is 2. The subtask goals are: pick up the toy at [159, 115] and place the toy in the basket at [36, 28]. The trajectory of the end effector in the first image is [[150, 93], [151, 99], [156, 108], [159, 112], [159, 115]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[里, ðŁĸĩ, ðŁĵª, áĮ½, à¬ī, âĺµ, ðŁİij], [맳, ëĹį, ê¸ij, íĵŃ, áIJ§, íĵ®, ðŁİij], [âĻĻ, ðŁĨĴ, ìĭ², ì³ħ, âļ£, 臘, ðŁİij], [âļĹ, áĪ¨, ìĿ¿, ë±ĭ, âĺµ, íĵ¶, ðŁİij]]."
]
} | null |