mvnagakishan/xarm_PP_smolvla
Robotics
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6
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observation.state
listlengths 4
4
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listlengths 4
4
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int64 0
799
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int64 0
24
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float32 0
1.6
| next.reward
float32 -0.05
1.43
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bool 2
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End of preview. Expand
in Data Studio
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.0",
"robot_type": "unknown",
"total_episodes": 800,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 800,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:800"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
"features": {
"observation.image": {
"dtype": "video",
"shape": [
84,
84,
3
],
"names": [
"height",
"width",
"channel"
],
"video_info": {
"video.fps": 15.0,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.state": {
"dtype": "float32",
"shape": [
4
],
"names": {
"motors": [
"motor_0",
"motor_1",
"motor_2",
"motor_3"
]
}
},
"action": {
"dtype": "float32",
"shape": [
4
],
"names": {
"motors": [
"motor_0",
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"motor_2",
"motor_3"
]
}
},
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"timestamp": {
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"next.reward": {
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"next.done": {
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}
}
}
Citation
BibTeX:
@inproceedings{Hansen2022tdmpc,
title={Temporal Difference Learning for Model Predictive Control},
author={Nicklas Hansen and Xiaolong Wang and Hao Su},
booktitle={ICML},
year={2022}
}
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Homepage:
nicklashansen.com
Paper:
arxiv.org
License:
mit
Size of downloaded dataset files:
1.19 MB
Size of the auto-converted Parquet files:
1.19 MB
Number of rows:
20,000
Models trained or fine-tuned on lerobot/xarm_lift_medium_replay