Systems Control and Multiagent Optimization Research
Our focus is on advancing fundamental understanding of multi-agent decision-making in uncertain and dynamic environments. Towards this vision, we develop game theory, distributed control, and stochastic and data-driven safe control. Our theoretical work is motivated by applications ranging from transportation and power grid systems to rescue robotics.
Please explore our publications to learn more, or check out the interview and video below:
“Science is an incredibly attractive career path”: — an interview on the motivation and vision behind our group.
A brief video showing our daily work.
Please explore our publications to learn more, or check out the interview and video below:
“Science is an incredibly attractive career path”: — an interview on the motivation and vision behind our group.
A brief video showing our daily work.
