Isaac Orbit (or orbit in short) is a unified and modular framework for robot learning powered by NVIDIA Isaac Sim. It offers a modular design to easily and efficiently create robotic environments with photo-realistic scenes and fast and accurate simulation.
Please refer to our documentation page to learn more about the installation steps, features, and tutorials.
We are currently in a phase of heavy development, and our team is actively working on various aspects of the framework to enhance its modularity and overall functionality. We understand the anticipation for a new release and assure you that we are working diligently towards it. While we have yet to set an exact release date to share, we are targeting a release in early October 2023. We believe that the improvements we are making will be well worth the wait.
For more details, please check the post here: isaac-sim#106
We wholeheartedly welcome contributions from the community to make this framework mature and useful for everyone. These may happen in form of bug reports, feature requests, or code contributions. For details, please check our contribution guidelines.
Please see the troubleshooting section for common fixes or submit an issue.
For issues related to Isaac Sim, we recommend checking its documentation, or opening a question on its forums.
- Please use GitHub Discussions for discussing ideas, asking questions, and requests for new features.
- Github Issues should only be used to track executable pieces of work with a definite scope and a clear deliverable. These can be fixing bugs, documentation issues, new features, or general updates.
NVIDIA Isaac Sim is available freely under individual license. For more information about its license terms, please check here.
ORBIT framework is released under BSD-3 License. The license files of its dependencies and assets are present in the docs/licenses directory.
Please cite this paper if you use this framework in your work:
@misc{mittal2023orbit,
author = {Mayank Mittal and Calvin Yu and Qinxi Yu and Jingzhou Liu and Nikita Rudin and David Hoeller and Jia Lin Yuan and Pooria Poorsarvi Tehrani and Ritvik Singh and Yunrong Guo and Hammad Mazhar and Ajay Mandlekar and Buck Babich and Gavriel State and Marco Hutter and Animesh Garg},
title = {ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments},
year = {2023},
eprint = {arXiv:2301.04195},
}