Recipient of an Army Early Career Program (ECP) Award, NSF CAREER Award, Best Paper Award in Robot Vision at ICRA 2020, Honorable Mention from IEEE RA-L 2020, and Best Student Paper Finalist Award at CDC 2017.
Research Experience
Leads the Intelligent Robotics and Autonomy Lab (iRaL), researching scalable and reliable algorithms that help mobile cyber-physical systems adaptively perceive their surroundings, self-navigate, and collaborate. Also investigates adaptive vehicle structures to enhance autonomous behaviors and enable new ones.
Education
Assistant professor at the University of Michigan, Ann Arbor (Aerospace), previously a research scientist at MIT (AeroAstro & LIDS) and a Ph.D. student at UPenn (ESE).
Background
Research interests include collaborative autonomy, online learning and optimization, perception-computation-communication-control co-design, and novel self-reconfigurable robots. Focuses on autonomous systems that must operate in resource-constrained, unstructured, and contested environments.
Miscellany
Looking for a post-doc or Ph.D. student to work on rigorous algorithms for decentralized optimization at the intersection of robotics, control, and machine learning.