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observation.state
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[ 0.08590292930603027, -0.19174760580062866, 1.2225826978683472, -0.09817477315664291, -0.7700583934783936, -0.0015339808305725455, 0.42972517013549805, -0.11044661700725555, 0.05522330850362778, 0.4801360070705414, -0.03681553900241852, -0.2761165499687195, -0.012271846644580364, 0.48032280802726746 ]
[ 0.08436894416809082, -0.17794176936149597, 1.193437099456787, -0.0951068103313446, -0.7900001406669617, -0.003067961661145091, 0.42158928513526917, -0.11504856497049332, 0.058291271328926086, 0.4417864680290222, -0.03988350182771683, -0.2623107135295868, -0.010737866163253784, 0.47994643449783325 ]
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This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v2.0",
    "robot_type": "aloha",
    "total_episodes": 56,
    "total_frames": 16800,
    "total_tasks": 1,
    "total_videos": 224,
    "total_chunks": 1,
    "chunks_size": 1000,
    "fps": 50,
    "splits": {
        "train": "0:56"
    },
    "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.cam_high": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 50.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.cam_left_wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 50.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.cam_low": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 50.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.images.cam_right_wrist": {
            "dtype": "video",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channel"
            ],
            "video_info": {
                "video.fps": 50.0,
                "video.codec": "av1",
                "video.pix_fmt": "yuv420p",
                "video.is_depth_map": false,
                "has_audio": false
            }
        },
        "observation.state": {
            "dtype": "float32",
            "shape": [
                14
            ],
            "names": {
                "motors": [
                    "left_waist",
                    "left_shoulder",
                    "left_elbow",
                    "left_forearm_roll",
                    "left_wrist_angle",
                    "left_wrist_rotate",
                    "left_gripper",
                    "right_waist",
                    "right_shoulder",
                    "right_elbow",
                    "right_forearm_roll",
                    "right_wrist_angle",
                    "right_wrist_rotate",
                    "right_gripper"
                ]
            }
        },
        "action": {
            "dtype": "float32",
            "shape": [
                14
            ],
            "names": {
                "motors": [
                    "left_waist",
                    "left_shoulder",
                    "left_elbow",
                    "left_forearm_roll",
                    "left_wrist_angle",
                    "left_wrist_rotate",
                    "left_gripper",
                    "right_waist",
                    "right_shoulder",
                    "right_elbow",
                    "right_forearm_roll",
                    "right_wrist_angle",
                    "right_wrist_rotate",
                    "right_gripper"
                ]
            }
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "next.done": {
            "dtype": "bool",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        }
    }
}

Citation

BibTeX:

@article{Zhao2023LearningFB,
    title={Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware},
    author={Tony Zhao and Vikash Kumar and Sergey Levine and Chelsea Finn},
    journal={RSS},
    year={2023},
    volume={abs/2304.13705},
    url={https://arxiv.org/abs/2304.13705}
}
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