Guangxu Li

Chengdu University of Information Technology, Qingdao University of Science and Technology

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About

Guangxu Li is a leading researcher in mobile robotics and intelligent navigation systems, with a focus on path planning, sensor fusion, and precision control. His most influential work, "Particle Swarm Algorithm Path-Planning Method for Mobile Robots Based on Artificial Potential Fields" (2023), has garnered 70 citations for its innovative hybrid approach that overcomes the limitations of traditional particle swarm optimization in dynamic environments. This contribution is pivotal for enabling autonomous and intelligent navigation in mobile robots. Li also advanced localization techniques with his 2015 study on wheeled mobile robots, integrating relative positioning from encoders and gyroscopes with absolute orientation from laser radar using Extended Kalman Filtering. His work on robotic manipulator arm positioning error measurement (2018) introduced a non-contact, computer vision-based repeatability assessment scheme using image registration, simplifying industrial calibration. Through these contributions, Li has significantly enhanced the reliability and autonomy of robotic systems, bridging theoretical algorithms with practical applications in navigation and precision manufacturing.