Datasets:
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 |
End of preview. Expand
in Data Studio
Robot Manipulation Dataset with Trajectory Annotations (Deluxe Edition)
Dataset Description
This enhanced dataset contains robot manipulation demonstrations with:
- Image observations: RGB images from robot camera
- Wrist camera views: End-effector perspective images
- Rich conversations: Task descriptions with semantic subtask annotations
- Trajectory annotations: Visual grounding through trajectory points
- Reverse trajectories: Return-to-initial-position augmented data
Dataset Structure
Fields
image: Primary camera RGB imagewrist: Wrist/end-effector camera imageconversations: Structured task dialogue- Task description with semantic subtask decomposition
- Depth map information
- Trajectory predictions
- Action token sequences
annotation: Trajectory coordinates (null for standard frames, populated for annotated frames)
Data Composition
This dataset combines:
- Forward task data: Complete task demonstrations with semantic descriptions
- Reverse trajectory data: Return-to-initial-position augmentation (shifted indices)
Total samples: ~42K+ (21K+ forward + 21K+ reverse)
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("DannyJun/real_spr_basket_v2")
train_data = dataset['train']
# Access sample
sample = train_data[0]
print("Task:", sample['conversations']['value'][0])
print("Annotation:", sample['annotation'])
Example Conversation Format
Human: The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take? To figure out the action that the robot should take, let's think through it step by step...
Assistant: The depth map of the first image is .... The number of subtasks is 2. The subtask goals are: pick up the book at [116, 49] and place the book in the back compartment of the caddy at [128, 71]. The trajectory of the end effector in the first image is [[116, 49], [120, 55], [128, 71]]...
Tasks Included
- Object placement and manipulation
- Container operations (microwave, drawer, cabinet)
- Multi-object coordination
- Sequential manipulation tasks
- Reverse trajectory tasks (return to initial position)
Citation
@dataset{robot_manipulation_deluxe,
title={Robot Manipulation Dataset with Trajectory Annotations (Deluxe Edition)},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/datasets/DannyJun/real_spr_basket_v2}
}
License
MIT License
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