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About

Zongyao Wang is a leading researcher in multi-robot systems, with a primary focus on leader–follower flocking and cooperative target tracking. His most influential work, "Leader–Follower Flocking: Algorithms and Experiments" (2009, 160 citations), pioneered a scalable framework where a few informed leaders guide a majority of followers using only local neighbor communication—a foundational contribution to decentralized swarm robotics. Complementing this, his paper "Cooperative Target Tracking Control of Multiple Robots" (2011, 159 citations) addresses the challenge of tracking moving targets with a team of camera-equipped robots under limited communication, solving the problem by decoupling target estimation from motion control. Wang’s research is distinguished by its emphasis on practical validation: he conducted real-world experiments with physical robots to verify his flocking algorithms, bridging theory and application. His work has been widely cited for its clarity in defining leader–follower roles and its use of fuzzy logic controllers for maintaining inter-robot distances. For students and researchers, Wang’s contributions offer essential insights into designing robust, scalable multi-robot systems that operate without global information—a key challenge in autonomous robotics.