Xiao-Hua Yu

Papers

Total Citations

214

H-Index

About

Dr. Xiao-Hua Yu is a leading researcher in autonomous robotics, with a primary focus on solving the computationally complex challenge of robot path planning. Her work centers on applying nature-inspired metaheuristic algorithms to navigate dynamic and NP-complete environments. Dr. Yu’s most significant contribution is her pioneering application of Ant Colony Optimization (ACO) for robot manipulator path planning, a seminal 2010 paper that has garnered 179 citations and remains a foundational reference in the field. She further advanced the domain by introducing the Firefly Algorithm for autonomous robot path optimization, demonstrating the efficacy of bio-inspired computation for real-time obstacle avoidance. Her recent research extends into multi-robot systems, developing a novel Fuzzy Inference System integrated with Probabilistic Roadmaps (PRM) to coordinate complex multi-agent trajectories for applications ranging from warehouse logistics to emergency search and rescue. With a career dedicated to bridging computational intelligence and practical robotics, Dr. Yu’s work has profoundly influenced how autonomous systems perceive and navigate their environments, establishing her as a key innovator in intelligent motion planning.