--- license: bsd-2-clause pipeline_tag: robotics --- # Diffusion Policy - RoboManipBaselines This repository contains a Diffusion Policy model trained using the [RoboManipBaselines](https://github.com/isri-aist/RoboManipBaselines) framework. The model was trained with the [MujocoUR5eCable dataset](https://huggingface.co/datasets/RoboManipBaselines/MujocoUR5eCable). - **Paper:** [RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation Environments](https://huggingface.co/papers/2509.17057) - **Project Page:** [RoboManipBaselines Project Page](https://isri-aist.github.io/RoboManipBaselines-ProjectPage/) - **Repository:** [GitHub - isri-aist/RoboManipBaselines](https://github.com/isri-aist/RoboManipBaselines) ## Installation For installation instructions, please refer to the [Diffusion Policy installation guide](https://github.com/isri-aist/RoboManipBaselines/blob/master/doc/install.md#Diffusion-policy) in the official repository. ## Policy Rollout To run the trained policy, use the following command from the top directory of the `robo_manip_baselines` repository: ```console # Go to the top directory of this repository $ cd robo_manip_baselines $ python ./bin/Rollout.py DiffusionPolicy MujocoUR5eCable --checkpoint ./checkpoint/DiffusionPolicy//policy_last.ckpt ``` ## Technical Details This model implements the Diffusion Policy as described in: ```bibtex @INPROCEEDINGS{DiffusionPolicy_RSS23, author = {Chi, Cheng and Feng, Siyuan and Du, Yilun and Xu, Zhenjia and Cousineau, Eric and Burchfiel, Benjamin and Song, Shuran}, title = {Diffusion Policy: Visuomotor Policy Learning via Action Diffusion}, booktitle = {Proceedings of Robotics: Science and Systems}, year = {2023}, month = {July}, doi = {10.15607/RSS.2023.XIX.026} } ``` ## Citation If you use this model or the RoboManipBaselines framework in your research, please cite: ```bibtex @article{RoboManipBaselines_Murooka_2025, title={RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation Environments}, author={Murooka, Masaki and Motoda, Tomohiro and Nakajo, Ryoichi and Oh, Hanbit and Makihara, Koshi and Shirai, Keisuke and Ogata, Tetsuya and Domae, Yukiyasu}, journal={arXiv preprint arXiv:2509.17057}, year={2025} } ```