| | --- |
| | task_categories: |
| | - robotics |
| | tags: |
| | - LeRobot |
| | - robotics |
| | - robot-learning |
| | - imitation-learning |
| | - manipulation |
| | - pick-and-place |
| | - so101 |
| | - domain-randomization |
| | configs: |
| | - config_name: default |
| | data_files: data/*/*.parquet |
| | --- |
| | |
| | This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). |
| |
|
| | ## Dataset Summary |
| |
|
| | - **Task:** Move a **red block** into a **white box** (pick-and-place / block-in-bin). |
| | - **Scene setup:** The **white box remains fixed** in the workspace. |
| | - **Variations across episodes:** |
| | - **Red block position randomization:** The block starts at different positions within a **small neighborhood** around the nominal start location (small translations). |
| | - **Lighting variation:** Ambient illumination changes slightly between episodes (e.g., intensity and/or direction), while the scene layout remains the same. |
| | - **Learning goal:** Encourage policies that are robust to **small spatial shifts** and **appearance changes** from lighting. |
| |
|
| | ## Supported Tasks and Use Cases |
| |
|
| | This dataset is suitable for: |
| |
|
| | - **Imitation learning** with moderate domain randomization. |
| | - **Visual robustness experiments** (sensitivity to illumination changes). |
| | - **Generalization evaluation** for pick-and-place under small distribution shifts. |
| | - **Baseline comparisons** against: |
| | - fixed block position / fixed lighting datasets, |
| | - block-rotation-only datasets, |
| | - position-randomized-only datasets. |
| |
|
| | ## Task Description |
| |
|
| | **Instruction:** “Place the red block into the white box.” |
| |
|
| | A typical episode includes: approach the block → grasp → move to the box → release into the box → optional return to rest. |
| |
|
| | With **position randomization** and **lighting variation**, successful policies should: |
| | - localize the block under changing appearance, |
| | - plan motion conditioned on current block position, |
| | - maintain grasp reliability when shadows/highlights vary. |
| |
|
| | ## Dataset Structure |
| |
|
| | [meta/info.json](meta/info.json): |
| | ```json |
| | { |
| | "codebase_version": "v3.0", |
| | "robot_type": "so_follower", |
| | "total_episodes": 50, |
| | "total_frames": 20724, |
| | "total_tasks": 1, |
| | "chunks_size": 1000, |
| | "data_files_size_in_mb": 100, |
| | "video_files_size_in_mb": 200, |
| | "fps": 30, |
| | "splits": { |
| | "train": "0:50" |
| | }, |
| | "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", |
| | "features": { |
| | "action": { |
| | "dtype": "float32", |
| | "names": [ |
| | "shoulder_pan.pos", |
| | "shoulder_lift.pos", |
| | "elbow_flex.pos", |
| | "wrist_flex.pos", |
| | "wrist_roll.pos", |
| | "gripper.pos" |
| | ], |
| | "shape": [ |
| | 6 |
| | ] |
| | }, |
| | "observation.state": { |
| | "dtype": "float32", |
| | "names": [ |
| | "shoulder_pan.pos", |
| | "shoulder_lift.pos", |
| | "elbow_flex.pos", |
| | "wrist_flex.pos", |
| | "wrist_roll.pos", |
| | "gripper.pos" |
| | ], |
| | "shape": [ |
| | 6 |
| | ] |
| | }, |
| | "observation.images.gripper": { |
| | "dtype": "video", |
| | "shape": [ |
| | 1080, |
| | 1920, |
| | 3 |
| | ], |
| | "names": [ |
| | "height", |
| | "width", |
| | "channels" |
| | ], |
| | "info": { |
| | "video.height": 1080, |
| | "video.width": 1920, |
| | "video.codec": "av1", |
| | "video.pix_fmt": "yuv420p", |
| | "video.is_depth_map": false, |
| | "video.fps": 30, |
| | "video.channels": 3, |
| | "has_audio": false |
| | } |
| | }, |
| | "observation.images.top": { |
| | "dtype": "video", |
| | "shape": [ |
| | 1080, |
| | 1920, |
| | 3 |
| | ], |
| | "names": [ |
| | "height", |
| | "width", |
| | "channels" |
| | ], |
| | "info": { |
| | "video.height": 1080, |
| | "video.width": 1920, |
| | "video.codec": "av1", |
| | "video.pix_fmt": "yuv420p", |
| | "video.is_depth_map": false, |
| | "video.fps": 30, |
| | "video.channels": 3, |
| | "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 |
| | } |
| | } |
| | } |
| | ``` |
| |
|
| |
|
| | 📊 Interested in the dataset? Contact Unidata to discuss purchase terms: [https://unidata.pro](https://unidata.pro/datasets/lerobot-so-101-manipulations/?utm_source=huggingface-Martsinian&utm_medium=referral&utm_campaign=record-red-block) |
| |
|
| | ## Citation |
| |
|
| | **BibTeX:** |
| |
|
| | ```bibtex |
| | [More Information Needed] |
| | ``` |