AI Research Scientist, Real-Time Video Understanding & Physical AI

The Problem As robots powered by learned policies enter real manufacturing environments, making them trustworthy becomes as important as making them capable. Learned policies can be confidently wrong — executing smoothly while doing something other than what was intended — and understanding what a robot is actually doing on a factory floor, in real time and from observation alone, is an open research frontier. Our lab researches the AI systems that make robot fleets trustworthy in production: real-time perception and reasoning over robot behavior — and, at its core, detecting when a robot is doing something wrong — built on multi-camera video understanding and multimodal signals from the operating environment and the robot itself.…