https://github.com/bolundai0216/orbit

Unified framework for robot learning built on NVIDIA Isaac Sim

https://github.com/bolundai0216/orbit

Repository

Unified framework for robot learning built on NVIDIA Isaac Sim

https://github.com/BolunDai0216/Orbit/blob/main/

![Example Tasks created with ORBIT](docs/source/_static/tasks.jpg)

---

# Orbit

[![IsaacSim](https://img.shields.io/badge/IsaacSim-2023.1.0--hotfix.1-silver.svg)](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html)
[![Python](https://img.shields.io/badge/python-3.10-blue.svg)](https://docs.python.org/3/whatsnew/3.10.html)
[![Linux platform](https://img.shields.io/badge/platform-linux--64-orange.svg)](https://releases.ubuntu.com/20.04/)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://pre-commit.com/)
[![Docs status](https://img.shields.io/badge/docs-passing-brightgreen.svg)](https://isaac-orbit.github.io/orbit)
[![License](https://img.shields.io/badge/license-BSD--3-yellow.svg)](https://opensource.org/licenses/BSD-3-Clause)



**Orbit** is a unified and modular framework for robot learning that aims to simplify common workflows
in robotics research (such as RL, learning from demonstrations, and motion planning). It is built upon
[NVIDIA Isaac Sim](https://docs.omniverse.nvidia.com/isaacsim/latest/overview.html) to leverage the latest
simulation capabilities for photo-realistic scenes and fast and accurate simulation.

Please refer to our [documentation page](https://isaac-orbit.github.io/orbit) to learn more about the
installation steps, features, and tutorials.

##  Announcement (22.12.2023)

We're excited to announce merging of our latest development branch into the main branch! This update introduces
several improvements and fixes to enhance the modularity and user-friendliness of the framework. We have added
several new environments, especially for legged locomotion, and are in the process of adding new environments.

Feel free to explore the latest changes and updates. We appreciate your ongoing support and contributions!

For more details, please check the post here: [#106](https://github.com/NVIDIA-Omniverse/Orbit/discussions/106)

## Contributing to Orbit

We wholeheartedly welcome contributions from the community to make this framework mature and useful for everyone.
These may happen as bug reports, feature requests, or code contributions. For details, please check our
[contribution guidelines](https://isaac-orbit.github.io/orbit/source/refs/contributing.html).

## Troubleshooting

Please see the [troubleshooting](https://isaac-orbit.github.io/orbit/source/refs/troubleshooting.html) section for
common fixes or [submit an issue](https://github.com/NVIDIA-Omniverse/orbit/issues).

For issues related to Isaac Sim, we recommend checking its [documentation](https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/overview.html)
or opening a question on its [forums](https://forums.developer.nvidia.com/c/agx-autonomous-machines/isaac/67).

## Support

* Please use GitHub [Discussions](https://github.com/NVIDIA-Omniverse/Orbit/discussions) for discussing ideas, asking questions, and requests for new features.
* Github [Issues](https://github.com/NVIDIA-Omniverse/orbit/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.

## Acknowledgement

NVIDIA Isaac Sim is available freely under [individual license](https://www.nvidia.com/en-us/omniverse/download/). For more information about its license terms, please check [here](https://docs.omniverse.nvidia.com/app_isaacsim/common/NVIDIA_Omniverse_License_Agreement.html#software-support-supplement).

Orbit framework is released under [BSD-3 License](LICENSE). The license files of its dependencies and assets are present in the [`docs/licenses`](docs/licenses) directory.

## Citation

Please cite [this paper](https://arxiv.org/abs/2301.04195) if you use this framework in your work:

```text
@article{mittal2023orbit,
   author={Mittal, Mayank and Yu, Calvin and Yu, Qinxi and Liu, Jingzhou and Rudin, Nikita and Hoeller, David and Yuan, Jia Lin and Singh, Ritvik and Guo, Yunrong and Mazhar, Hammad and Mandlekar, Ajay and Babich, Buck and State, Gavriel and Hutter, Marco and Garg, Animesh},
   journal={IEEE Robotics and Automation Letters},
   title={Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments},
   year={2023},
   volume={8},
   number={6},
   pages={3740-3747},
   doi={10.1109/LRA.2023.3270034}
}
```

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