Controlling teams of autonomous robots

This proposed research aims at proposing new distributed control methodologies and algorithms to enable complex multi-autonomous-robot systems to execute complex cooperative tasks rapidly, accurately and robustly. Simple local information passing, storage and processing are critical to accomplish this goal for large-scale multi-robot networks. Using the tool of distributed signal processing and optimization, smart information exchange architectures within multi-robot systems are proposed, which are more likely to lead to the emergence of novel cooperative control strategies that could cope with difficult situations.