Assess
Why?
- Physical AI extends edge AI into robotics and real-world control systems, requiring integration across sensors, controllers, and models.
- Robust, real-time capable platforms are necessary for safe and responsive Physical AI applications.
What?
- Track and prototype with ROS2-based stacks, real-time OS integrations, and hardware-in-the-loop setups.
- Define safety, latency, and resilience requirements for production robotics deployments.
- Establish tooling for sim-to-hardware validation and lifecycle management of physical agents.