Xueyan Li

Wuchang University of Technology, Xidian University

Papers

Total Citations

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About

Xueyan Li is a leading researcher in mobile robotics and kinematic parameter identification, with a focus on enhancing the efficiency and accuracy of autonomous systems. Her most influential work introduces a relaxed Dijkstra algorithm for real-time path planning in intelligent mobile robots, addressing critical challenges in large-scale, obstacle-dense environments. By employing a four-neighborhood search strategy, this method significantly improves computational speed and practicality, earning 29 citations and establishing a foundation for adaptive navigation systems. In parallel, Li tackles the complex issue of redundancy in robot kinematic parameter identification, proposing an analytical approach to remove redundant parameters from error models. This work, cited 14 times, enhances the stability and precision of robotic calibration, directly impacting industrial automation and precision manufacturing. Her contributions bridge theoretical optimization and real-world robotics, offering scalable solutions for autonomous navigation and kinematic accuracy. Li’s research is instrumental for students and engineers seeking robust, efficient algorithms for mobile robot control and system identification, positioning her as a key figure in advancing intelligent robotics.