Haodong Li

Papers

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About

Haodong Li is a leading researcher in multi-robot coordination and autonomous navigation, with a focus on developing intelligent, real-time path planning algorithms for mobile robotic systems. His major contributions lie in addressing the critical challenge of dynamic collision avoidance in multi-robot environments. In his highly cited 2020 work (51 citations), Li introduced a novel method combining an improved artificial potential field with a fuzzy inference system to assess and mitigate collision risks, enabling multiple robots to collaborate safely and efficiently. He further advanced the field with a 2022 study (40 citations) on hybrid path planning, integrating forward search optimization with subgoal-based strategies to generate shorter, smoother global paths for mobile robots. Li’s research is distinguished by its practical, real-world applicability, bridging theoretical optimization with robust, real-time performance. His work has become essential reading for engineers and researchers developing autonomous systems for warehouses, factories, and service robotics, establishing him as a key innovator in the quest for seamless, intelligent robot teamwork.