100 episodes · 30 fps · 3 cameras · 640×480 h264
This dataset was created using LeRobot.
Dataset Description
End-effector version of
pepijn223/rebot_diverse_picking_100_annotated
(revision 93c97807c46535745d0587d4296416bf2d4aa80d): 100 bimanual reBot B601-DM episodes of
picking objects into a bin, with the same videos, tasks and language annotations.
action and observation.state hold, per arm, the pose of the URDF end_link (tool frame,
15.5 cm beyond the wrist) instead of the six joint angles:
| Channels | Meaning |
|---|---|
left_x, left_y, left_z |
Left tool position in the left arm's base_link frame (meters) |
left_qx, left_qy, left_qz, left_qw |
Left tool orientation, unit quaternion (x, y, z, w) |
left_gripper.pos |
Left gripper, unchanged (degrees) |
right_* |
Same for the right arm, in the right arm's base_link frame |
- Poses come from forward kinematics of the reBot B601-DM URDF
(Seeed-Projects/reBot-DevArm, bundled as
meta/ReBot_Arm_DM.urdf). LeRobot's DM joint degrees are used directly as URDF joint angles. - Each arm is expressed in its own base frame; the transform between the two arm mounts is not included.
- Quaternions are sign-continuous within each episode and start with
qw >= 0. actionis the pose the commanded joints would reach. Under the arms' impedance control the measured pose (observation.state) can differ from it, for example by gravity sag.- Dataset and per-episode statistics are recomputed for these features; everything else is
identical to the source. Converted with
examples/zero_wam/convert_joints_to_ee.py.
Dataset Structure
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"left_x",
"left_y",
"left_z",
"left_qx",
"left_qy",
"left_qz",
"left_qw",
"left_gripper.pos",
"right_x",
"right_y",
"right_z",
"right_qx",
"right_qy",
"right_qz",
"right_qw",
"right_gripper.pos"
],
"shape": [
16
]
},
"observation.state": {
"dtype": "float32",
"names": [
"left_x",
"left_y",
"left_z",
"left_qx",
"left_qy",
"left_qz",
"left_qw",
"left_gripper.pos",
"right_x",
"right_y",
"right_z",
"right_qx",
"right_qy",
"right_qz",
"right_qw",
"right_gripper.pos"
],
"shape": [
16
]
},
"observation.images.left_wrist": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"is_depth_map": false,
"video.height": 480,
"video.width": 640,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": null,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {}
}
},
"observation.images.right_wrist": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"is_depth_map": false,
"video.height": 480,
"video.width": 640,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": null,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {}
}
},
"observation.images.base": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"is_depth_map": false,
"video.height": 480,
"video.width": 640,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": null,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {}
}
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"language_persistent": {
"dtype": "language",
"shape": [
1
],
"names": null
},
"language_events": {
"dtype": "language",
"shape": [
1
],
"names": null
}
},
"total_episodes": 100,
"total_frames": 131716,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"robot_type": "bi_rebot_b601_follower",
"splits": {
"train": "0:100"
},
"tools": [
{
"type": "function",
"function": {
"name": "say",
"description": "Speak a short utterance to the user via the TTS executor.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The verbatim text to speak."
}
},
"required": [
"text"
]
}
}
}
]
}
Citation
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