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 yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[112, 38], [126, 45], [144, 60], [150, 74], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Êĵ, ḻ, à¬ī, á¾Ķ, â¡¢, âļ£, ðŁİij], [ìı±, íĵĸ, ðIJ°¼, áĬĴ, ðIJ°¼, à°³, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[115, 37], [130, 47], [146, 61], [150, 74], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìı±, íĵĸ, ðIJ°¼, áĬĴ, ðIJ°¼, à°³, ðŁİij], [ðŁĶ¢, áĮĥ, ï¨Ĥ, 롼, áĢı, áIJ§, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[118, 38], [134, 50], [146, 61], [150, 74], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁĶ¢, áĮĥ, ï¨Ĥ, 롼, áĢı, áIJ§, ðŁİij], [ðŁķ¢, ìĦIJ, ॱ, ðĿķį, â²¢, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[121, 41], [138, 54], [148, 62], [150, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ¢, ìĦIJ, ॱ, ðĿķį, â²¢, áĶĬ, ðŁİij], [ðŁĸij, Éĺ, íĵ®, ḻ, ìĨĬ, ðĿĺļ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[126, 45], [138, 54], [148, 62], [150, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁĸij, Éĺ, íĵ®, ḻ, ìĨĬ, ðĿĺļ, ðŁİij], [ðŁķł, à½ħ, ðĿij³, áĶĬ, ê³Ĥ, ÆĪ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[130, 47], [142, 58], [150, 65], [150, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķł, à½ħ, ðĿij³, áĶĬ, ê³Ĥ, ÆĪ, ðŁİij], [âļ§, ë¯ij, áī¨, ðĿĻ½, ðĿĻ®, ðĿķ¡, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[134, 50], [144, 60], [150, 65], [150, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļ§, ë¯ij, áī¨, ðĿĻ½, ðĿĻ®, ðĿķ¡, ðŁİij], [ìī¡, íĬŃ, íĵĸ, á¤Ĭ, ê³Ĥ, á¸ĥ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[138, 54], [146, 61], [150, 70], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìī¡, íĬŃ, íĵĸ, á¤Ĭ, ê³Ĥ, á¸ĥ, ðŁİij], [áĮĥ, íĵŃ, Õĥ, ðĿĸĸ, áĮĦ, áĶħ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[142, 58], [146, 61], [150, 70], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĥ, íĵŃ, Õĥ, ðĿĸĸ, áĮĦ, áĶħ, ðŁİij], [ᳬ, à°³, ëĶī, ï¥ł, ʶ, áłĦ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[144, 60], [148, 62], [150, 74], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ᳬ, à°³, ëĶī, ï¥ł, ʶ, áłĦ, ðŁİij], [áĨº, ðĿĻľ, ë¡ij, ðĸ¥¨, ì³ħ, à²Ł, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[146, 61], [150, 65], [150, 74], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĨº, ðĿĻľ, ë¡ij, ðĸ¥¨, ì³ħ, à²Ł, ðŁİij], [íĵĸ, á¶ı, ìĦIJ, áĻ³, ðIJŃĵ, ï¤Ĩ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[148, 62], [150, 70], [150, 77], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵĸ, á¶ı, ìĦIJ, áĻ³, ðIJŃĵ, ï¤Ĩ, ðŁİij], [á¨ģ, íķ®, ë¼Ŀ, ðĿĻ½, ðŁıĩ, íķ±, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[150, 65], [150, 70], [150, 77], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¨ģ, íķ®, ë¼Ŀ, ðĿĻ½, ðŁıĩ, íķ±, ðŁİij], [ê²Ļ, Õĥ, ìĭ², ðĿĻ¼, Ý¥, íĥĻ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[150, 70], [150, 74], [148, 79], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, Õĥ, ìĭ², ðĿĻ¼, Ý¥, íĥĻ, ðŁİij], [íĭį, á¿ļ, ë»ħ, 臘, à¤ij, ðĿļģ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_116><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[150, 74], [150, 77], [148, 79], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĭį, á¿ļ, ë»ħ, 臘, à¤ij, ðĿļģ, ðŁİij], [ì¼ĩ, ë±IJ, ìĦIJ, áĴĮ, ðĿĻľ, à°µ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[150, 77], [148, 79], [148, 81], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì¼ĩ, ë±IJ, ìĦIJ, áĴĮ, ðĿĻľ, à°µ, ðŁİij], [íĵ», ìĽ¢, ìĿ¿, íĵ¬, à²Ł, ðĿĻľ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[148, 79], [148, 81], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ», ìĽ¢, ìĿ¿, íĵ¬, à²Ł, ðĿĻľ, ðŁİij], [ìĨĬ, ðŁħ¢, á¿IJ, â²¢, Ýĵ, ðĿĵ°, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_101><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[148, 81], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĨĬ, ðŁħ¢, á¿IJ, â²¢, Ýĵ, ðĿĵ°, ðŁİij], [â²¢, à°µ, íģ», áĮĦ, ðĿĵŀ, ðŁıĩ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, à°µ, íģ», áĮĦ, ðĿĵŀ, ðŁıĩ, ðŁİij], [ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_101><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_84><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥], [ï¤Ĩ, âĢ´, ⣰, ðŁIJĢ, ðŁķĿ, ðIJ±ħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[148, 81], [150, 75], [154, 57], [155, 47], [156, 26]]. 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, âĢ´, ⣰, ðŁIJĢ, ðŁķĿ, ðIJ±ħ, Ý¥], [ì³ħ, â½Ĺ, â½Ĺ, ðŁİij, ðŁĴ¹, ïŃ², Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[150, 75], [152, 66], [154, 57], [155, 47], [156, 26]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì³ħ, â½Ĺ, â½Ĺ, ðŁİij, ðŁĴ¹, ïŃ², Ý¥], [áĮĦ, âºŁ, â½Ĺ, ì³ħ, ìĽ¢, ìľ¾, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[152, 66], [154, 57], [155, 47], [156, 36], [156, 26]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, âºŁ, â½Ĺ, ì³ħ, ìĽ¢, ìľ¾, Ý¥], [ãĪª, â½Ĺ, â½Ĺ, ï¨Ĥ, ï¦ĥ, á¶ı, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[154, 57], [155, 47], [156, 36], [156, 26]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, â½Ĺ, â½Ĺ, ï¨Ĥ, ï¦ĥ, á¶ı, Ý¥], [íĵ¬, â½Ĺ, â½Ĺ, ë±IJ, íĥĻ, ⤦, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[155, 47], [156, 36], [156, 26]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, â½Ĺ, â½Ĺ, ë±IJ, íĥĻ, ⤦, Ý¥], [ïŃ², âĢ´, â½Ĺ, ëĸ°, ì³ħ, ì»ģ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_84><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 26]. The trajectory of the end effector in the first image is [[156, 36], [156, 26]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ïŃ², âĢ´, â½Ĺ, ëĸ°, ì³ħ, ì»ģ, Ý¥], [íĵ®, ðĿļı, ê¦Ķ, íģ», ì³ħ, ðIJŃĵ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[112, 38], [127, 45], [144, 60], [150, 74], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Éĺ, áĮĦ, Ý¥, ë±ĭ, ë¤Ĥ, áłĦ, ðŁİij], [ë¡ij, ì³ħ, ðIJ¤Ķ, áĮĶ, ðŁħ¢, áĢı, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[115, 37], [131, 48], [147, 61], [150, 74], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ë¡ij, ì³ħ, ðIJ¤Ķ, áĮĶ, ðŁħ¢, áĢı, ðŁİij], [ðŁĶ¤, à´´, ðIJ¤Ķ, 臘, áĭ©, áĮĦ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[119, 39], [135, 50], [147, 61], [150, 74], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁĶ¤, à´´, ðIJ¤Ķ, 臘, áĭ©, áĮĦ, ðŁİij], [ðŁķ¢, ìĦIJ, áģ¼, ðĿĵ¹, 䶵, âĶŀ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[123, 42], [139, 54], [148, 63], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ¢, ìĦIJ, áģ¼, ðĿĵ¹, 䶵, âĶŀ, ðŁİij], [ðŁķ³, à´´, ïŃ², áĴĮ, ê³Ĥ, ðĿĻ½, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[127, 45], [139, 54], [148, 63], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ³, à´´, ïŃ², áĴĮ, ê³Ĥ, ðĿĻ½, ðŁİij], [ðŁķ¢, Êĵ, ïŃ², âĶŀ, íĵ¬, àłĮ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[131, 48], [142, 58], [150, 66], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ¢, Êĵ, ïŃ², âĶŀ, íĵ¬, àłĮ, ðŁİij], [㳬, ë¡ij, à¬ī, ÆĪ, ðĿĺIJ, ðĿij³, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[135, 50], [144, 60], [150, 66], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[㳬, ë¡ij, à¬ī, ÆĪ, ðĿĺIJ, ðĿij³, ðŁİij], [ìĿ©, Éĺ, ìľ¾, áļĮ, ãĪª, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[139, 54], [147, 61], [150, 70], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĿ©, Éĺ, ìľ¾, áļĮ, ãĪª, áĶĬ, ðŁİij], [áłĤ, ðIJ¤Ķ, íķ®, ðĿĶĵ, áĬĴ, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[142, 58], [147, 61], [150, 70], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĤ, ðIJ¤Ķ, íķ®, ðĿĶĵ, áĬĴ, áĶĬ, ðŁİij], [áĮĥ, à°³, ê¸ij, 臘, ðĿĻľ, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[144, 60], [148, 63], [150, 74], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĥ, à°³, ê¸ij, 臘, ðĿĻľ, áĶĬ, ðŁİij], [áĪ¨, ðIJ¤Ķ, ë¯ij, ðĿĵ¬, ìľ¾, à¬ī, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[147, 61], [150, 66], [150, 74], [148, 79], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĪ¨, ðIJ¤Ķ, ë¯ij, ðĿĵ¬, ìľ¾, à¬ī, ðŁİij], [ðIJŃĵ, áĮĥ, ìĦIJ, á¤Ĭ, ðĿļģ, íĵŃ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 63], [150, 70], [148, 77], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJŃĵ, áĮĥ, ìĦIJ, á¤Ĭ, ðĿļģ, íĵŃ, ðŁİij], [âĶŀ, íķ®, ë¼Ŀ, ðĿĻº, ðŁıĩ, íķ±, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[150, 66], [150, 70], [148, 77], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, íķ®, ë¼Ŀ, ðĿĻº, ðŁıĩ, íķ±, ðŁİij], [ê²´, áĨº, ìı±, ðĿĻ®, Ý¥, íĵĸ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[150, 70], [150, 74], [148, 79], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, áĨº, ìı±, ðĿĻ®, Ý¥, íĵĸ, ðŁİij], [íĵ¬, âļĤ, ë¯ij, íĭį, Ý¥, Ȳ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[150, 74], [148, 77], [148, 79], [148, 81], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, âļĤ, ë¯ij, íĭį, Ý¥, Ȳ, ðŁİij], [íĭį, ë±IJ, ë¼Ŀ, áĶĬ, ðŁħ¢, à°³, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_30><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 77], [148, 79], [148, 81], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĭį, ë±IJ, ë¼Ŀ, áĶĬ, ðŁħ¢, à°³, ðŁİij], [íĵ», ì»ģ, íķ®, íĵ®, à²Ł, ðĿĵ°, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 79], [148, 81], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ», ì»ģ, íķ®, íĵ®, à²Ł, ðĿĵ°, ðŁİij], [ê³Ĥ, ʶ, âļĤ, âĺµ, ÔĪ, ðĿĵ°, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 81], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê³Ĥ, ʶ, âļĤ, âĺµ, ÔĪ, ðĿĵ°, ðŁİij], [â²¢, à²Ł, íģ», áĭ©, ðIJ°¼, ðŁıĩ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, à²Ł, íģ», áĭ©, ðIJ°¼, ðŁıĩ, ðŁİij], [ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥], [íģ», ï¨Ĭ, âĢ´, ðŁİij, ðŁĴ¹, ðĿĶĵ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[148, 81], [151, 74], [154, 56], [155, 45], [156, 25]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íģ», ï¨Ĭ, âĢ´, ðŁİij, ðŁĴ¹, ðĿĶĵ, Ý¥], [íķ±, â½Ĺ, â½Ĺ, ðŁı©, ðŁķĿ, ê³Ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[151, 74], [152, 64], [154, 56], [155, 45], [156, 25]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íķ±, â½Ĺ, â½Ĺ, ðŁı©, ðŁķĿ, ê³Ĥ, Ý¥], [áĶħ, âį¨, â½Ĺ, ï¤Ĩ, íķ±, ëĸ°, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[152, 64], [154, 56], [155, 45], [156, 34], [156, 25]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĶħ, âį¨, â½Ĺ, ï¤Ĩ, íķ±, ëĸ°, Ý¥], [䶵, â½Ĺ, â½Ĺ, ï¤ħ, ï¤ħ, á¾Ķ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[154, 56], [155, 45], [156, 34], [156, 25]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[䶵, â½Ĺ, â½Ĺ, ï¤ħ, ï¤ħ, á¾Ķ, Ý¥], [íĵ¶, âºŁ, â½Ĺ, 맳, ì»ģ, ë¤Ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[155, 45], [156, 34], [156, 25]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¶, âºŁ, â½Ĺ, 맳, ì»ģ, ë¤Ĥ, Ý¥], [ðIJŃĬ, âŀ¶, â½Ĺ, 맳, ì³ħ, íĥĻ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 25]. The trajectory of the end effector in the first image is [[156, 34], [156, 25]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðIJŃĬ, âŀ¶, â½Ĺ, 맳, ì³ħ, íĥĻ, Ý¥], [íĭį, ðĿĺIJ, àłĮ, ï¤ħ, íģ», ðĿĵŀ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[113, 37], [127, 46], [144, 60], [150, 71], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à´´, à¬ī, ʶ, ï¤Ĩ, ìľ¾, áĬĴ, ðŁİij], [âļ§, ë±IJ, ðIJ¤Ķ, áIJ§, Ȳ, áĬĴ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[115, 37], [131, 48], [144, 60], [150, 71], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļ§, ë±IJ, ðIJ¤Ķ, áIJ§, Ȳ, áĬĴ, ðŁİij], [ðŁķĸ, ï®ı, ðIJ°¼, ðĸ¥¨, áĶħ, áĭ©, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[119, 39], [135, 51], [147, 61], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķĸ, ï®ı, ðIJ°¼, ðĸ¥¨, áĶħ, áĭ©, ðŁİij], [ðŁķ¢, ìī¡, áĮĶ, ðĸ¥¨, ê²Ļ, ê²Ļ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[123, 42], [135, 51], [147, 61], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ¢, ìī¡, áĮĶ, ðĸ¥¨, ê²Ļ, ê²Ļ, ðŁİij], [ðŁķ¢, áĪĬ, ðĸ¥, áĮĦ, ê²´, ðŁħħ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[127, 46], [139, 55], [148, 63], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ¢, áĪĬ, ðĸ¥, áĮĦ, ê²´, ðŁħħ, ðŁİij], [ðŁķ³, ðŁĨĴ, íĵ¶, ê²´, 臘, ðŁħĵ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[131, 48], [142, 58], [148, 63], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ³, ðŁĨĴ, íĵ¶, ê²´, 臘, ðŁħĵ, ðŁİij], [ê¸ij, ë¡ij, Ôij, áĽħ, ðĿķ±, ïŃ², ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[135, 51], [144, 60], [150, 67], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê¸ij, ë¡ij, Ôij, áĽħ, ðĿķ±, ïŃ², ðŁİij], [ì¥ī, áĪ¨, ë¤Ĥ, ÆĪ, âĶŀ, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[139, 55], [144, 60], [150, 67], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì¥ī, áĪ¨, ë¤Ĥ, ÆĪ, âĶŀ, áĶĬ, ðŁİij], [ᨸ, ðĿļģ, ìĿ¿, ðĿĵ¬, áģ¼, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[142, 58], [147, 61], [150, 71], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ᨸ, ðĿļģ, ìĿ¿, ðĿĵ¬, áģ¼, áĶĬ, ðŁİij], [áīIJ, à¬ī, ê¸ij, ï¥ł, ðIJ°¼, áĶħ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[144, 60], [148, 63], [150, 71], [148, 77], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áīIJ, à¬ī, ê¸ij, ï¥ł, ðIJ°¼, áĶħ, ðŁİij], [áĮĥ, ï¤ħ, ë¯ij, ðĿķ±, ì»ģ, Ýĵ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[147, 61], [150, 67], [150, 75], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĥ, ï¤ħ, ë¯ij, ðĿķ±, ì»ģ, Ýĵ, ðŁİij], [ʶ, à½ħ, ìĦIJ, á¤Ĭ, ðŁıĩ, íĵĸ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 63], [150, 67], [150, 75], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, à½ħ, ìĦIJ, á¤Ĭ, ðŁıĩ, íĵĸ, ðŁİij], [âĺµ, ï®ı, ìĦIJ, ðĿĻº, Ȳ, íĵŃ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[150, 67], [150, 71], [148, 77], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĺµ, ï®ı, ìĦIJ, ðĿĻº, Ȳ, íĵŃ, ðŁİij], [ê²´, áīIJ, ìı±, ðĿķ±, Ý¥, íĽľ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[150, 71], [150, 75], [148, 77], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, áīIJ, ìı±, ðĿķ±, Ý¥, íĽľ, ðŁİij], [íĵ¬, âļĹ, ë¯ij, ê³Ĥ, Ýĵ, ÔĪ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[150, 75], [148, 77], [148, 80], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, âļĹ, ë¯ij, ê³Ĥ, Ýĵ, ÔĪ, ðŁİij], [íĵ¬, ë±ĭ, ë¼Ŀ, á¸ĥ, Ȳ, ॱ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_30><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 77], [148, 80], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, ë±ĭ, ë¼Ŀ, á¸ĥ, Ȳ, ॱ, ðŁİij], [íĵ¶, íĵŃ, Éĺ, íĵ¬, à²Ł, ðĿĵŀ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 80], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¶, íĵŃ, Éĺ, íĵ¬, à²Ł, ðĿĵŀ, ðŁİij], [ê²Ļ, Ôij, ëĸ°, á¨ģ, ðŁħ¢, ðĿļģ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, Ôij, ëĸ°, á¨ģ, ðŁħ¢, ðĿļģ, ðŁİij], [ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_116><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_84><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥], [áĮĶ, íĵ®, áĢı, ìĽ¢, âļĤ, áī¨, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 82], [148, 80], [154, 63], [155, 44], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĶ, íĵ®, áĢı, ìĽ¢, âļĤ, áī¨, Ý¥], [ìĽ¢, â½Ĺ, ãĩº, ðŁİij, ðŁİij, ðĿĸĸ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[148, 80], [151, 72], [154, 54], [155, 44], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ìĽ¢, â½Ĺ, ãĩº, ðŁİij, ðŁİij, ðĿĸĸ, Ý¥], [ï¨Ĥ, â½Ĺ, â½Ĺ, ðŁķĿ, á½Ŀ, áłĦ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[151, 72], [154, 63], [154, 54], [155, 44], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¨Ĥ, â½Ĺ, â½Ĺ, ðŁķĿ, á½Ŀ, áłĦ, Ý¥], [áłĦ, âį¨, â½Ĺ, ðIJ¤Ķ, ï¤Ĩ, âļĤ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[154, 63], [154, 54], [155, 44], [156, 33], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, âį¨, â½Ĺ, ðIJ¤Ķ, ï¤Ĩ, âļĤ, Ý¥], [ê²´, â½Ĺ, â½Ĺ, íķ±, íĽľ, á¿IJ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_84><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[154, 54], [155, 44], [156, 33], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, â½Ĺ, â½Ĺ, íķ±, íĽľ, á¿IJ, Ý¥], [íĵ», ãĩ½, â½Ĺ, 맳, ì»ģ, 맳, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[155, 44], [156, 33], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ», ãĩ½, â½Ĺ, 맳, ì»ģ, 맳, Ý¥], [ïŃ², âĩŀ, â½Ĺ, ⤦, ìĽ¢, íĵŃ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_84><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 23]. The trajectory of the end effector in the first image is [[156, 33], [156, 23]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ïŃ², âĩŀ, â½Ĺ, ⤦, ìĽ¢, íĵŃ, Ý¥], [ì¼ĩ, ðĿij³, ðĿĵ¾, ðĿĵ°, íĽľ, ðĿĵŀ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[113, 37], [128, 46], [144, 60], [150, 72], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à´´, ðŁıĩ, ðĿļģ, ðŁıĩ, íĵĸ, à°µ, ðŁİij], [ðŁĸ¶, 맳, ðIJ¤Ķ, áĴĮ, Ȳ, áĮĦ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_75><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[116, 37], [132, 48], [144, 60], [150, 72], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁĸ¶, 맳, ðIJ¤Ķ, áĴĮ, Ȳ, áĮĦ, ðŁİij], [ðŁķĿ, ìĿ¿, ðĿĵ°, ðĿķį, á¸ĥ, áĬĴ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[120, 39], [136, 51], [147, 61], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķĿ, ìĿ¿, ðĿĵ°, ðĿķį, á¸ĥ, áĬĴ, ðŁİij], [ðŁķ³, ìĿ©, á¨ģ, ï¥ł, ê³Ĥ, íĵ¶, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_101><DEPTH_26><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[124, 43], [136, 51], [147, 61], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķ³, ìĿ©, á¨ģ, ï¥ł, ê³Ĥ, íĵ¶, ðŁİij], [ðŁķł, áĪ¨, ðĿĵķ, áĬĴ, ê²Ļ, àłĮ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[128, 46], [140, 56], [150, 64], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁķł, áĪ¨, ðĿĵķ, áĬĴ, ê²Ļ, àłĮ, ðŁİij], [ðŁĹģ, ì¥ī, ê²´, ï¥ł, ðĿij³, ðĿĻ¿, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[132, 48], [143, 59], [150, 64], [150, 75], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁĹģ, ì¥ī, ê²´, ï¥ł, ðĿij³, ðĿĻ¿, ðŁİij], [ê¸ij, ë»ħ, ðŁħ¢, á¤Ĭ, ðĿĵķ, íĵ¶, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[136, 51], [144, 60], [150, 68], [148, 78], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê¸ij, ë»ħ, ðŁħ¢, á¤Ĭ, ðĿĵķ, íĵ¶, ðŁİij], [ðŁĨĴ, ᨸ, âĻĻ, ðĿļĦ, áłĦ, áĴĮ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_56><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_75><DEPTH_125><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[140, 56], [144, 60], [150, 68], [148, 78], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁĨĴ, ᨸ, âĻĻ, ðĿļĦ, áłĦ, áĴĮ, ðŁİij], [á¶ı, ÔĪ, ìī¡, ðĸ¥¨, à²Ł, áĶĬ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[143, 59], [147, 61], [150, 72], [148, 78], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¶ı, ÔĪ, ìī¡, ðĸ¥¨, à²Ł, áĶĬ, ðŁİij], [áĪ¾, Ýĵ, êĻĭ, ïŃ², ï¨Ĥ, áĮĶ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[144, 60], [150, 64], [150, 72], [148, 78], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĪ¾, Ýĵ, êĻĭ, ïŃ², ï¨Ĥ, áĮĶ, ðŁİij], [ᳬ, íĥĻ, ë»ħ, ðĿĺIJ, íģ», Ȳ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[147, 61], [150, 68], [150, 75], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ᳬ, íĥĻ, ë»ħ, ðĿĺIJ, íģ», Ȳ, ðŁİij], [à°³, Éĺ, ìĦIJ, áĽħ, Ȳ, íĥĻ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[150, 64], [150, 68], [150, 75], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à°³, Éĺ, ìĦIJ, áĽħ, Ȳ, íĥĻ, ðŁİij], [âļ£, ðŁħ±, ìĦIJ, ðĿĻ¼, ʶ, íĵĸ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[150, 68], [150, 72], [148, 78], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âļ£, ðŁħ±, ìĦIJ, ðĿĻ¼, ʶ, íĵĸ, ðŁİij], [ê³Ĥ, ᳬ, ìı±, ðĿĵ¹, Ý¥, ï¦ĥ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[150, 72], [150, 75], [148, 78], [148, 80], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê³Ĥ, ᳬ, ìı±, ðĿĵ¹, Ý¥, ï¦ĥ, ðŁİij], [íĵ¬, ⤦, ë¯ij, ãĪª, ÔĪ, Ýĵ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_55><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[150, 75], [148, 78], [148, 80], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, ⤦, ë¯ij, ãĪª, ÔĪ, Ýĵ, ðŁİij], [íĵ®, 맳, ë¼Ŀ, âļ£, Ôij, Ýĵ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_30><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[148, 78], [148, 80], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ®, 맳, ë¼Ŀ, âļ£, Ôij, Ýĵ, ðŁİij], [íĵ¬, ï¤Ĩ, áĨº, ìĨĬ, à°³, ðĿĵŀ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[148, 80], [148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ¬, ï¤Ĩ, áĨº, ìĨĬ, à°³, ðĿĵŀ, ðŁİij], [䶵, Ý¥, ë±ĭ, áĶĬ, ðĿļģ, ðĿļģ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[148, 82], [148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[䶵, Ý¥, ë±ĭ, áĶĬ, ðĿļģ, ðĿļģ, ðŁİij], [ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_125><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 2. The subtask goals are: approach and grasp the yellow cup at [148, 82] and pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[148, 82]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áĢı, íĥĻ, áĮĦ, ðĿĵ°, ðŁħ¢, Ý¥], [à²Ł, ðĿĵ¾, âļ£, áĮ½, áĪ¨, áĶĬ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_75><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[148, 82], [150, 79], [154, 62], [155, 42], [156, 22]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à²Ł, ðĿĵ¾, âļ£, áĮ½, áĪ¨, áĶĬ, Ý¥], [ë¤Ĥ, â½Ĺ, â½Ĺ, ðŁİij, ðŁİij, ðĿĺIJ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_30><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_26><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[150, 79], [151, 70], [155, 52], [155, 42], [156, 22]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ë¤Ĥ, â½Ĺ, â½Ĺ, ðŁİij, ðŁİij, ðĿĺIJ, Ý¥], [ðŁħ¢, â½Ĺ, â½Ĺ, ë¡ij, ìĿ©, à°³, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the yellow cup. What is the action that the robot should take. To figure out the action that the robot should take to pick up the yellow cup, 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_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_9><DEPTH_25><DEPTH_25><DEPTH_25><DEPTH_28><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_END>. The number of subtasks is 1. The subtask goals are: pick up the yellow cup at [156, 22]. The trajectory of the end effector in the first image is [[151, 70], [154, 62], [155, 52], [155, 42], [156, 22]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁħ¢, â½Ĺ, â½Ĺ, ë¡ij, ìĿ©, à°³, Ý¥], [ḻ, â½Ĺ, â½Ĺ, ðIJ°¼, 里, á¿ļ, Ý¥]]."
]
}
| null |
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