Papers
1
Total Citations
31
H-Index
1
About
Zhenxin Mu is a leading researcher in swarm intelligence and bio-inspired collective behavior, with a particular focus on the pursuit–evasion problem—a fundamental challenge in understanding how complex group dynamics emerge in natural and artificial systems. Their landmark survey, “A survey of the pursuit–evasion problem in swarm intelligence” (2023), has already garnered 31 citations, reflecting its rapid influence as a go-to resource for researchers seeking to bridge biological swarm behaviors and engineered multi-agent systems. In this work, Mu systematically reviews the intrinsic mechanisms that enable coordinated chasing and escaping strategies in biological groups, offering critical insights for designing autonomous robotic swarms, defense systems, and distributed decision-making algorithms. By synthesizing decades of research and identifying open challenges, Mu has provided a foundational framework that inspires new directions in both theoretical and applied swarm intelligence. Their contributions are shaping how students and engineers alike approach the design of resilient, adaptive collective behaviors, making Mu a key voice in the next generation of bio-inspired computing and robotics.
Research Focus
Key Achievements
Top Papers
- 1A survey of the pursuit–evasion problem in swarm intelligence31 citations · 2023