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---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
configs:
- config_name: default
data_files: data/*/*.parquet
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
## Dataset Description
- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0
- **Task Objective:** Place the RealSense D-405 camera into the mounting case and secure the lid.
- **Operational Objects:** A RealSense D-405 camera along with its original complete packaging (Purchase link: [【淘宝】退货运费险 https://e.tb.cn/h.60YgeNsj0ZmKJD1?tk=VwPYeJGcavx tG-#22>lD 「英特尔RealSense D405近距离7~50cm高精度毫米深度相机实感摄像头」点击链接直接打开 或者 淘宝搜索直接打开])
- **Operation Duration:** Each operation takes approximately 20 to 40 seconds.
- **Recording Frequency:** 30 Hz.
- **Robot Type:** 7-DOF dual-arm G1 robot.
- **End Effector:** Three-fingered dexterous hands.
- **Dual-Arm Operation:** Yes.
- **Image Resolution:** 640x480.
- **Camera Positions:** Wrist-mounted (monocular camera) + head-mounted (binocular cameras).
- **Data Content:**
• Robot's current state.
• Robot's next action.
• Current camera view images.
- **Robot Initial Posture:** The first robot state in each dataset entry.
- **Object Placement:** Position the camera case at the midpoint between the robot's arms in their initial state (arms vertical), 30cm away from the inner edge of the table's wall (robot-facing side). Place the camera on the right side of the case, and position the lid on the left side of the case.
- **Camera View:** Follow the guidelines in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate).
- **Important Notes:**
1. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as specified in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate).
2. Data collection is not completed in a single session, and variations between data entries exist. Ensure these variations are accounted for during model training.
## Dataset Structure
[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v2.0",
"robot_type": "Unitree_G1",
"total_episodes": 201,
"total_frames": 256253,
"total_tasks": 1,
"total_videos": 804,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:201"
},
"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.state": {
"dtype": "float32",
"shape": [
28
],
"names": [
[
"kLeftShoulderPitch",
"kLeftShoulderRoll",
"kLeftShoulderYaw",
"kLeftElbow",
"kLeftWristRoll",
"kLeftWristPitch",
"kLeftWristYaw",
"kRightShoulderPitch",
"kRightShoulderRoll",
"kRightShoulderYaw",
"kRightElbow",
"kRightWristRoll",
"kRightWristPitch",
"kRightWristYaw",
"kLeftHandThumb0",
"kLeftHandThumb1",
"kLeftHandThumb2",
"kLeftHandMiddle0",
"kLeftHandMiddle1",
"kLeftHandIndex0",
"kLeftHandIndex1",
"kRightHandThumb0",
"kRightHandThumb1",
"kRightHandThumb2",
"kRightHandIndex0",
"kRightHandIndex1",
"kRightHandMiddle0",
"kRightHandMiddle1"
]
]
},
"action": {
"dtype": "float32",
"shape": [
28
],
"names": [
[
"kLeftShoulderPitch",
"kLeftShoulderRoll",
"kLeftShoulderYaw",
"kLeftElbow",
"kLeftWristRoll",
"kLeftWristPitch",
"kLeftWristYaw",
"kRightShoulderPitch",
"kRightShoulderRoll",
"kRightShoulderYaw",
"kRightElbow",
"kRightWristRoll",
"kRightWristPitch",
"kRightWristYaw",
"kLeftHandThumb0",
"kLeftHandThumb1",
"kLeftHandThumb2",
"kLeftHandMiddle0",
"kLeftHandMiddle1",
"kLeftHandIndex0",
"kLeftHandIndex1",
"kRightHandThumb0",
"kRightHandThumb1",
"kRightHandThumb2",
"kRightHandIndex0",
"kRightHandIndex1",
"kRightHandMiddle0",
"kRightHandMiddle1"
]
]
},
"observation.images.cam_left_high": {
"dtype": "video",
"shape": [
3,
480,
640
],
"names": [
"channels",
"height",
"width"
],
"info": {
"video.fps": 30.0,
"video.height": 480,
"video.width": 640,
"video.channels": 3,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.images.cam_right_high": {
"dtype": "video",
"shape": [
3,
480,
640
],
"names": [
"channels",
"height",
"width"
],
"info": {
"video.fps": 30.0,
"video.height": 480,
"video.width": 640,
"video.channels": 3,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.images.cam_left_wrist": {
"dtype": "video",
"shape": [
3,
480,
640
],
"names": [
"channels",
"height",
"width"
],
"info": {
"video.fps": 30.0,
"video.height": 480,
"video.width": 640,
"video.channels": 3,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.images.cam_right_wrist": {
"dtype": "video",
"shape": [
3,
480,
640
],
"names": [
"channels",
"height",
"width"
],
"info": {
"video.fps": 30.0,
"video.height": 480,
"video.width": 640,
"video.channels": 3,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"has_audio": false
}
},
"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
}
}
}
```
## Citation
**BibTeX:**
```bibtex
[More Information Needed]
``` |