Robotics development is moving from narrow, fixed automation toward systems that perceive, plan and adapt. NVIDIA has highlighted applications across agriculture, manufacturing, energy and other physical industries.
The unit of AI performance is changing—from the quality of an answer to the safety and reliability of an action.
Why this matters
Physical systems require assurance across software, sensors, actuators, environments and human interaction. A model can appear capable in a demonstration while remaining brittle in conditions it has not encountered.
What AIAF is watching
- Real deployment hours, not demonstration videos.
- Intervention rates and recovery from abnormal conditions.
- Independent safety evidence around people.
Source reviewed
NVIDIA — Physical AI research and robotics applications