Behrouz Touri

University of Colorado Boulder, University of California San Diego

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About

Behrouz Touri is a leading researcher in the intersection of control theory, game theory, and multi-agent systems, with a particular focus on decentralized coordination and stochastic hybrid systems. His most impactful contribution to date is the 2016 paper "Modeling multi-robot task allocation with limited information as global game," which has garnered 55 citations. In this work, Touri pioneered the application of global game theory to robotics, demonstrating how teams of autonomous agents can achieve efficient task allocation even when each robot has only partial, noisy information about the environment—a critical breakthrough for real-world deployment where communication is limited. More recently, in his 2023 study "On the Coordination Efficiency of Strategic Multi-Agent Robotic Teams," Touri formally defined a class of symmetric utility games that unify many coordination problems, providing a rigorous framework for analyzing how strategic, self-interested agents can achieve collective goals. His earlier work on stochastic multi-mode systems (2016) introduced novel methods for verifying almost-sure reachability in hybrid systems with probabilistic dynamics. Touri’s research is distinguished by its elegant mathematical formalism and its direct applicability to autonomous robotics, making him a key figure in the drive toward truly decentralized, intelligent multi-robot teams.