We are broadly interested in robotics and autonomous systems. The long-term goal of our research is to make robots safe, yet "street-smart"! By street-smart, we mean that the robot should be able to make quick and intelligent decisions in novel and complex situations based on what it sees. Yet, the robot should be able to reason about the consequences of its decisions on its own safety and that of other robots and humans around it.

The current focus of our lab is to provide safety assurances for such systems when they leverage machine learning and AI for decision-making and control. Our research operates at the intersection of robotics, control theory, and machine learning to design safe and performant autonomous systems.

Please click on one of the following links to learn more about our research.