Yuanqing Xu
Papers
3
Total Citations
73
H-Index
3
About
Yuanqing Xu is a leading researcher in robotics and bio-inspired locomotion, with a primary focus on path planning, swarm intelligence, and multi-robot formation control. His seminal work, "Obstacle-avoidance Path Planning for Soccer Robots Using Particle Swarm Optimization" (2006, 57 citations), introduced a novel dynamic obstacle-avoidance approach that has become foundational in mobile robotics, demonstrating how particle swarm optimization can efficiently solve complex navigation problems. Xu has since expanded into biologically inspired systems, developing a free-swimming tadpole model using the immersed boundary-lattice Boltzmann method (2023, 8 citations), which provides new insights into aquatic locomotion and its engineering applications. Most recently, his collaborative line-of-sight guidance-based robust formation control for multi-snake robots (2024, 8 citations) addresses critical challenges in uncertain environments, enabling snake robots to maintain fixed formations while tracking multiple parametric paths. This work represents a significant advancement in cooperative robotics, with potential applications in search-and-rescue and exploration. Xu’s research seamlessly bridges theoretical optimization with practical robotic systems, making him a notable figure in both classical and emerging areas of robotics.
Research Focus
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Top Papers
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