metadata
license: apache-2.0
task_categories:
- robotics
tags:
- lerobot
- so101
- manipulation
- pick-and-place
- simulation
- mujoco
configs:
- config_name: default
data_files:
- split: train
path: data/**/*.parquet
SO-101 Pick Cube Dataset
A robotics manipulation dataset featuring the SO-101 robot arm performing pick-and-place tasks in MuJoCo simulation. The robot learns to pick up a cube and place it into a bin.
Dataset Details
| Property | Value |
|---|---|
| Robot | SO-101 (6-DoF arm with gripper) |
| Task | Pick cube and place in bin |
| Episodes | 993 |
| FPS | 30 |
| Cameras | 3 (front, overhead, wrist) |
| Resolution | 640x480 |
| Format | LeRobot v2.0 |
Cameras
- Front Camera: Third-person view of the workspace
- Overhead Camera: Top-down bird's eye view
- Wrist Camera: First-person view from the gripper
Joint States
The dataset includes 6 joint positions and actions:
shoulder_pan- Base rotationshoulder_lift- Shoulder elevationelbow_flex- Elbow bendwrist_flex- Wrist pitchwrist_roll- Wrist rotationgripper- Gripper open/close
Usage
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("gpudad/so101_pick_cube")
print(f"Number of episodes: {dataset.num_episodes}")
print(f"Number of frames: {dataset.num_frames}")
Training with LeRobot
# Train ACT policy
python lerobot/scripts/train.py \
--dataset.repo_id=gpudad/so101_pick_cube \
--policy=act \
--output_dir=outputs/act_so101_pick_cube
Environment
The simulation environment uses MuJoCo with:
- SO-101 robot arm mounted on a table
- A colored cube as the manipulation target
- A bin as the placement destination
- Randomized cube positions for diverse training data
License
This dataset is released under the Apache 2.0 License.
Citation
@dataset{so101_pick_cube_2025,
title={SO-101 Pick Cube Dataset},
author={gpudad},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/gpudad/so101_pick_cube}
}