Welcome to the Interactive and Trustworthy Robotics Lab! Our goal is to enable embodied AI agents to safely interact with the open world. We are particularly interested in formalizing safety beyond collision-avoidance: for example, quantifying a robot's confidence in a requested task, monitoring and automatically adjusting how robots interact with fragile or easy-to-spill objects, and aligning visuomotor policies with hard-to-specify end-user values. Towards this, our research develops theory and algorithms that draw upon optimal control and reinforcement learning, dynamic games, uncertainty quantification, and deep learning. Our work is applied in a variety of domains, such as lightweight robotic arms, quadrotors, quadrupedal robots, and autonomous cars. For a detailed research overview, please see our publications page.

Location: Newell-Simon Hall A513