Yanming Fan

Papers

Total Citations

100

H-Index

About

Dr. Yanming Fan is a leading researcher in swarm robotics and bio-inspired collective intelligence, whose work bridges the gap between natural animal behaviors and engineered robotic cooperation. Their most-cited paper, “From animal collective behaviors to swarm robotic cooperation” (2023, 100 citations), provides a comprehensive framework for translating the emergent self-organization, adaptability, and decentralized decision-making seen in schooling fish, flocking birds, and packing wolves into scalable robotic systems. This work has become a foundational reference for designing robust, fault-tolerant multi-robot teams capable of operating without central control. Beyond this landmark study, Dr. Fan’s research has significantly advanced the theoretical understanding of how simple local interaction rules can produce complex global behaviors, offering practical pathways for applications in environmental monitoring, search-and-rescue, and autonomous exploration. By systematically analyzing biological principles and distilling them into algorithmic designs, Dr. Fan has helped establish a new paradigm for cooperative robotics, inspiring a growing community of engineers and biologists alike. Their contributions continue to shape how researchers think about autonomy, resilience, and coordination in distributed systems.