Daifeng Zhang

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About

Daifeng Zhang is a leading researcher in multi-robot systems and cooperative control, with a focus on perception-limited unmanned aerial vehicle (UAV) groups. His work addresses critical challenges in multirobot intelligence, particularly in target enclosing—a fundamental coordination task with applications in surveillance, search-and-rescue, and autonomous swarms. Zhang’s most-cited paper, "Leader–Follower Interactive Potential for Target Enclosing of Perception-Limited UAV Groups" (2021, 40 citations), introduces an innovative interactive potential field approach that enables UAVs with restricted sensing to maintain connectivity while effectively enclosing a target. This contribution overcomes a key limitation in distributed control, where individual robots must rely on local information without global awareness. By integrating leader-follower dynamics with potential functions, Zhang’s framework ensures robust coordination even under communication and perception constraints. His work has been recognized for advancing the practical deployment of autonomous aerial swarms in complex, real-world environments. With growing citation impact, Zhang’s research continues to shape the fields of multi-agent systems, cooperative robotics, and intelligent control, offering scalable solutions for next-generation autonomous operations.