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About

Pucheng Zhou is a robotics researcher whose work spans multi-robot coordination, autonomous task allocation, and advanced robotic systems for challenging environments. His most influential contributions, developed in the mid-2000s, center on multi-robot cooperative pursuit, tackling the complex pursuit-evasion problem in which teams of autonomous mobile robots collaboratively track and capture multiple moving targets in dynamic environments. To address the computational and communication demands of real-time coordination, Zhou pioneered the application of auction-based mechanisms drawn from economics — including combinatorial and task bundle auctions — as well as an extended Contract Net Protocol enhanced with case-based reasoning to streamline task negotiation and reduce communication overhead. These foundational papers, collectively accumulating over 30 citations, established him as a contributor to decentralized multi-agent coordination theory. More recently, Zhou has expanded his research focus toward fusion reactor robotics, investigating the CFETR Multipurpose Overload Robot (CMOR) — a critical component in remote handling systems for next-generation nuclear fusion facilities. His work in this domain addresses adaptive motion planning using iterative tractrix methods and predictive morphology control for structural deformation analysis. This trajectory from swarm robotics to precision industrial robotics reflects Zhou's sustained commitment to solving real-world autonomous systems challenges across diverse and demanding applications.