Search is not available for this dataset
observation.state
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timestamp
float32
episode_index
int64
frame_index
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "unknown",
    "total_episodes": 7331,
    "total_frames": 156012,
    "total_tasks": 1,
    "total_videos": 7331,
    "total_chunks": 8,
    "chunks_size": 1000,
    "fps": 5,
    "splits": {
        "train": "0:7331"
    },
    "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.images.image": {
            "dtype": "video",
            "shape": [
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            "names": [
                "height",
                "width",
                "channel"
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            "video_info": {
                "video.fps": 5.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
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        "language_instruction": {
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        "observation.state": {
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            "names": {
                "motors": [
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        },
        "action": {
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            "names": {
                "motors": [
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                    "motor_1",
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                    "motor_3",
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                ]
            }
        },
        "timestamp": {
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        "episode_index": {
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        "frame_index": {
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        "next.reward": {
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        "next.done": {
            "dtype": "bool",
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        "index": {
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        },
        "task_index": {
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            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

@inproceedings{kahn2018self,
    title={Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation},
    author={Kahn, Gregory and Villaflor, Adam and Ding, Bosen and Abbeel, Pieter and Levine, Sergey},
    booktitle={2018 IEEE international conference on robotics and automation (ICRA)},
    pages={5129--5136},
    year={2018},
    organization={IEEE}
}
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