Chaoli Sun

Papers

Total Citations

207

H-Index

About

Chaoli Sun is a leading researcher in swarm robotics and bio-inspired intelligence, with a focus on self-organizing multi-robot systems and human-robot coexistence. Her most influential work, the 2017 review "Bio-inspired self-organising multi-robot pattern formation," has garnered 201 citations, establishing her as a key voice in understanding how natural systems inspire collective robotic behaviors. Sun's research delves into the mechanisms of intelligence emergence in swarm robotic search, notably through her Extended Particle Swarm Optimization (EPSO) model, which explores how communication modes—synchronous versus asynchronous—affect coordination and efficiency. By transferring properties of Particle Swarm Optimization to robotic swarms, she has advanced the design of distributed, adaptive systems. Additionally, Sun has contributed to the vision of a human-robot co-existence society, addressing safety intelligence for next-generation robots. Her work bridges theoretical foundations and practical applications, offering critical insights for students and researchers interested in autonomous multi-agent systems, collective intelligence, and the future of collaborative robotics.