Fu Lixia

Kunming University of Science and Technology

Papers

Total Citations

109

H-Index

About

Dr. Fu Lixia is a leading researcher in intelligent robotics, with a primary focus on path planning and multi-robot coordination in complex, dynamic environments. Her work masterfully bridges bio-inspired optimization and real-time control, most notably through the development of hybrid algorithms that enhance autonomous navigation. Her most influential contribution, the 2022 paper "An Effective Dynamic Path Planning Approach for Mobile Robots Based on Ant Colony Fusion Dynamic Windows" (68 citations), pioneers a novel integration of ant colony optimization (ACO) for global route finding with the dynamic window approach (DWA) for local obstacle avoidance, significantly improving a robot's ability to navigate unpredictable settings. Building on this, her 2021 work "LF-ACO: an effective formation path planning for multi-mobile robot" (41 citations) tackles the even greater challenge of multi-robot collaboration, introducing a leader-follower framework (LF-ACO) that ensures cohesive formation movement while avoiding inter-robot collisions. By solving critical problems in both single and multi-agent systems, Dr. Fu’s research provides foundational algorithms that are directly applicable to warehouse logistics, search-and-rescue operations, and autonomous driving, marking her as a key innovator in the field of mobile robotics.