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About

Zhenlong Xiao is a robotics researcher whose work focuses on the intersection of swarm intelligence, multi-robot coordination, and bio-inspired control systems. His primary research areas include adaptive swarm algorithms, formation control, and knowledge synchronization in distributed robotic systems. Xiao's most notable contribution is the "Evolutionary Niche Artificial Fish Swarm Algorithm" (2023, 8 citations), which addresses the critical challenge of dynamically adjusting subgroup sizes in robot swarms during multi-target search tasks—a problem that has long hindered efficient distributed robotics. He also developed "CortexBot," a pioneering 3D visual fusion system for robotic neuronavigated Transcranial Magnetic Stimulation (TMS) that integrates real-time MRI-based guidance with robotic arm control for precise cerebral target treatment. His "D-World: Decay Small-World" framework (2022, 3 citations) optimizes swarm knowledge synchronization under communication constraints, while his work on "Cellular Reaction Gene Regulation Networks" (2022, 2 citations) introduces self-organized pattern formation maneuvering control inspired by biological gene regulatory networks. Xiao's research consistently bridges theoretical algorithms with practical robotic applications, offering innovative solutions for distributed autonomous systems operating in dynamic, communication-limited environments.