OSRA TGC Special Interest Group for Physical AI
This project is maintained by ros-physical-ai
Coordinator: Michael Gentner (BMW)
This group builds the end-to-end software workflow, enabling developers to take a trained policy and run it efficiently and robustly on a robot.
Create a seamless flow to convert trained policies into performant ROS graphs, including critical steps like real-time data synchronization for inference.
Develop and standardize core components, such as real-time capable executors, to ensure that deployed policies can meet strict performance guarantees.
Improve the developer experience with simplified installation and testing tools while extending the pipeline to support advanced paradigms like Reinforcement Learning.
Roadmap content to be added
Roadmap content to be added
Roadmap content to be added
Detailed member list to be added
Contribution opportunities to be added