OSRA TGC Special Interest Group for Physical AI
This project is maintained by ros-physical-ai
The Physical AI SIG is organized into five working groups, each focused on a critical layer of the stack.
Coordinator: Michel Hidalgo (Ekumen)
Defines the common language and contracts for the ecosystem, ensuring all components are interoperable and reusable.
Coordinator: Anh Vu Vu (Huawei)
Builds the workflow of collecting data, logging under constraints, and inspecting and visualizing logged data for curation.
Coordinator: Michael Gentner (BMW)
Builds the end-to-end software workflow, enabling developers to take a trained policy and run it efficiently and robustly on a robot.
Coordinator: Yadunund Vijay (Intrinsic)
Makes the initiative’s work tangible by integrating all technologies into a physical platform with accessible examples and community-facing activities.
Coordinator: Adam Dabrowski (Robotec.ai)
Develops standards, best practices and reference applications for flexible skill composition, where reasoning models orchestrate state-of-the-art packages and learned policies through tool use.