Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-25 | 568 |
| 2026-07-28 | 568 |
| 2026-07-30 | 568 |
| 2026-08-06 | 568 |
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 --- # Future of this Project I greatly appreciate the interest by the community in this project. However, due to several difficulties, this version of the project is hard to maintain and update anymore. I sincerely apologize for the inconvenience. There may or may not be a clearner refactored version in the future. If you believe it is highly helpful to your research, you are welcomed to contact me by emailing to [email protected]. # OmniDrones [](https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/overview.html) [](https://docs.python.org/3/whatsnew/3.7.html) [](https://omnidrones.readthedocs.io/en/latest/) [](https://opensource.org/licenses/MIT) [](https://discord.gg/J4QvXR6tQj) *OmniDrones* is an open-source platform designed for reinforcement learning research on multi-rotor drone systems. Built on [Nvidia Isaac Sim](https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/overview.html), *OmniDrones* features highly efficient and flexible simulation that can be adopted for various research purposes. We also provide a suite of benchmark tasks and algorithm baselines to provide preliminary results for subsequent works. For usage and more details, please refer to the [documentation](https://omnidrones.readthedocs.io/en/latest/). Unfortunately, it does not support Windows. Welcome to join our [Discord](https://discord.gg/J4QvXR6tQj) for discussions and questions! ## Notice The initial release of **OmniDrones** is developed based on Isaac Sim 2022.2.0. It can be found at the [release](https://github.com/btx0424/OmniDrones/tree/release) branch. The current version is developed based on Isaac Sim 4.1.0. ## Announcement 2023-09-25 The initial release of **OmniDrones** is developed based on Isaac Sim 2022.2.0. As the next version of Isaac Sim (2023.1.0) is expected to bring substantial changes but is not yet available, the APIs and usage of **OmniDrones** are subject to change. We will try our best to keep the documentation up-to-date. ## Announcement 2023-10-25 The new release of Isaac Sim (2023.1.0) has brought substantial changes as well as new possibilities, among which the most important is new sensors. We are actively working on it at the `devel` branch. The `release` branch will still be maintained for compatibility. Feel free to raise issues if you encounter any problems or have ideas to discuss. ## Citation Please cite [this paper](https://arxiv.org/abs/2309.12825) if you use *OmniDrones* in your work: ```bibtex @misc{xu2023omnidrones, title={OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control}, author={Botian Xu and Feng Gao and Chao Yu and Ruize Zhang and Yi Wu and Yu Wang}, year={2023}, eprint={2309.12825}, archivePrefix={arXiv}, primaryClass={cs.RO} } ``` ## Acknowledgement Some of the abstractions and implementation was heavily inspired by [Isaac Lab](https://github.com/isaac-sim/IsaacLab).
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Ruize Zhang · Tsinghua University · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a6273bc16f3f0c8c, topic:robotics, topic:simulation, readme:drone
matched fp:a6273bc16f3f0c8c, topic:reinforcement-learning, readme:reinforcement learning
