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---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
- lerobot
- robotics
- imitation-learning
- bimanual
- end-effector-control
configs:
- config_name: default
data_files: data/*/*.parquet
---
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=rainbowrobotics/box_tilting_all_v3">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/>
</a>
# RB-Y1 Box Tilting Dataset
A bimanual robot manipulation dataset collected using the Rainbow Robotics RB-Y1.
The robot rotates a box 90 degrees upward using both arms.
## Dataset Summary
- Robot: Rainbow Robotics RB-Y1
- LeRobot format: v3.0
- Episodes: 88
- Frames: 51,827
- Frequency: 30 FPS
- Duration: approximately 28 minutes and 48 seconds
- Number of tasks: 1
- Camera: Front RGB camera
- Image resolution: 640 x 480
- Task instruction: `Rotate the box 90 degrees upward`
## Action Representation
The action contains absolute end-effector poses for both robot arms.
Each arm is represented using:
[x, y, z, wx, wy, wz]
- `x`, `y`, `z`: Cartesian end-effector position
- `wx`, `wy`, `wz`: rotation vector representation
- Right arm: 6 dimensions
- Left arm: 6 dimensions
- Total action dimension: 12
The rotation vector direction represents the rotation axis, and its magnitude
represents the rotation angle in radians.
## Observation Representation
The observation contains:
- Front RGB camera image
- Right arm joint positions
- Left arm joint positions
- Right end-effector pose
- Left end-effector pose
The robot state contains 26 dimensions:
- Right arm joints: 7
- Left arm joints: 7
- Right end-effector pose: 6
- Left end-effector pose: 6
## Dataset Structure
The dataset follows the LeRobotDataset v3.0 structure.
meta/
data/
videos/
Metadata describing the dataset and its features is available in
[meta/info.json](meta/info.json).
Frame-level observations and actions are stored as Parquet files.
Camera observations are stored as MP4 video files.
## Intended Use
This dataset is intended for research involving:
- Imitation learning
- Vision-based robot manipulation
- Bimanual manipulation
- End-effector pose control
- Action chunking policies
- Vision-Language-Action models
## License
Apache License 2.0