Bio-inspired Coordination of Multi-Agent Systems

Catalog description

Autonomous multi-agent systems are becoming an integral part of our daily lives with thousands of robots and drones operating in places from warehouses to entertainment lightshows. With robot costs dropping to mainstream consumer levels, the current technological wave is driven by industry, researchers, and ambitious hobbyists, and spans applications in autonomous vehicles, construction, agriculture, and more. With this eminent technological revolution, it is critical that we look beyond robots working efficiently in parallel, and towards actual swarm intelligence for superior system ability and robustness beyond the sum of its parts. As a proof of concept, natural swarms exhibit efficient, error tolerant, and adaptive properties far beyond the individual scope. Beyond serving as an introduction to research, reading and review of scientific papers, this course also offers insights into both biology and the systems they have inspired.