XU Yan-li

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About

Xu Yan-li is a leading researcher in intelligent robotics and control systems, with a primary focus on pipeline inspection and maintenance robots. Her most influential work centers on optimizing motion control through advanced swarm intelligence algorithms. In her highly cited 2020 paper, "Adsorption control of a pipeline robot based on improved PSO algorithm" (22 citations), she proposed a novel enhanced particle swarm optimization (PSO) method to fine-tune PID controller parameters for mobile robots navigating complex pipeline environments. This contribution significantly improved the adsorption stability and movement precision of pipeline robots, addressing critical challenges in industrial infrastructure inspection. Yan-li's research bridges theoretical algorithm development with practical robotic applications, demonstrating how bio-inspired optimization can solve real-world engineering problems. Her work has been recognized for its impact on autonomous robotic systems, particularly in hazardous confined spaces where reliable control is essential. By integrating swarm intelligence with robotic motion planning, she has advanced the field of intelligent control systems, providing a foundation for future developments in autonomous pipeline maintenance and inspection technologies.