Zhefan-Xu/NavRL
NavRL is a reinforcement learning framework for safe robot flight and navigation in dynamic environments.
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NavRL enables robots to safely navigate dynamic environments using reinforcement learning, as published in IEEE Robotics and Automation Letters 2025. The framework integrates with NVIDIA Isaac Sim for simulation and supports both ROS1 and ROS2 for robot integration. While originally designed for UAV navigation, it can be extended to any robot with a velocity-based control system.
Frequently asked
- What is Zhefan-Xu/NavRL?
- NavRL is a reinforcement learning framework for safe robot flight and navigation in dynamic environments.
- Is NavRL open source?
- Yes — Zhefan-Xu/NavRL is open source, released under the MIT license.
- What language is NavRL written in?
- Zhefan-Xu/NavRL is primarily written in C++.
- How popular is NavRL?
- Zhefan-Xu/NavRL has 1.5k stars on GitHub.
- Where can I find NavRL?
- Zhefan-Xu/NavRL is on GitHub at https://github.com/Zhefan-Xu/NavRL.