RobotecAI/rai
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RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
About
RAI is a flexible AI agent framework to develop and deploy Embodied AI features for your robots.
📚 Visit robotecai.github.io/rai for the latest documentation, setup guide and tutorials. 📚
directory of documentation, images, and URDFs.
RAI is one of the main projects in focus of the Embodied AI Community Group. If you would like to join the next meeting, look for it in the ROS Community Calendar.
See our documentation for a deeper dive into RAI, including instructions on creating a configuration specifically for your robot.
You are welcome to contribute to RAI! Please see our Contribution Guide.
If you find our work helpful for your research, please consider citing the following…
Excerpted from github.com/RobotecAI/rai
Latest metrics
| Stars | 546 | 2026-07-16 |
|---|---|---|
| Forks | 72 | 2026-07-16 |
| Commits | 477 | 2026-07-16 |
| Releases | 16 | 2026-07-16 |
| Watchers | 10 | 2026-07-16 |
| Open issues | 47 | 2026-07-16 |
| Open PRs | 24 | 2026-07-16 |