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Collaborative robotic teams

Much like a team of human specialists who can attain objectives best by working together, active self-coordinated teams of robots can do more than robots working without coordination, whether they are surveying forest fires or digging through a disaster site to bring out and treat the injured.

Enormous challenges are involved in developing higher cognitive and organizational activity for such multi-robotic coordinated systems, including problems in inter-agent communication, negotiation, coordination, conflict, and social behavior. Specifically, some of the issues being addressed in CSL relate to nonlinear stability theory and control design for complex networks, multirate and asynchronous systems, nonlinear dynamics, and limit-cycle oscillators. CSL faculty have been recognized for their work in this most challenging area.