Autonomous Systems (ASL)
ASL is developing methodologies for the analysis, design, and control of autonomous systems, in particular self-driving cars, aerospace vehicles, and future mobility systems. The lab’s expertise in control theory, robotics, optimization, and machine learning guides us in developing new methods for operation in uncertain, rapidly changing, and potentially adversarial environments aimed at practical, computationally efficient, and provably correct algorithms for field deployment.
Multi-Robot Systems (MSL)
MSL develops algorithms for collaboration, coordination, and competition among machine/human teams in unstructured natural environments, including operation in complex traffic understanding and signaling intent, in 3D flying races against human pilots at the edge of the dynamic envelope; and for large-scale drone aerial remote surveys. Building on optimization, control and game theory, and machine learning, we develop the essentials for robots entering the real world.