The Autonomous Systems Lab (ASL) develops methodologies for the analysis, design and control of autonomous systems, with a particular emphasis on large-scale robotic networks and autonomous aerospace vehicles.
The lab combines expertise from control theory, robotics, optimization and operations research to develop the theoretical foundations for networked autonomous systems operating in uncertain, rapidly changing and potentially adversarial environments. Theoretical insights are then used to devise practical, computationally efficient and provably correct algorithms for field deployment. Applications include robotic transportation networks, sensor networks, agile control of spacecraft during proximity operations and mobility platforms for extreme planetary environments (such as outgassing irregular satellites). Collaborations with NASA centers are a key component of the research portfolio.