metadata
license: cc
task_categories:
- robotics
language:
- en
tags:
- robotics
- robot-learning
- bimanual-manipulation
- imitation-learning
- robotwin
- robotwin2.0
pretty_name: RoboTwin 2.0
RoboTwin 2.0 Dataset
Dexdata format RoboTwin 2.0 dataset.
Download and Extract
If the dataset is uploaded as split tar archives:
cat robotwin2.tar.part-* | tar -xf -
After extraction, the dataset directory will be:
robotwin2.0/
Dataset Structure
robotwin2.0/
├── jsonl/
│ └── <task_name>/
│ ├── clean/
│ └── randomized/
└── video/
└── <task_name>/
├── clean/
└── randomized/
Each task directory contains two data variants:
clean: data generated in the clean/default settingrandomized: data generated with domain randomization
Citation
@article{chen2025robotwin,
title={RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation},
author={Chen, Tianxing and Chen, Zanxin and Chen, Baijun and Cai, Zijian and Liu, Yibin and Liang, Qiwei and Li, Zixuan and Lin, Xianliang and Ge, Yiheng and Gu, Zhenyu and others},
journal={arXiv preprint arXiv:2506.18088},
year={2025}
}