Xiao Yue Lu

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Xiao Yue Lu is a researcher in mobile robotics and computational intelligence, with a focus on path planning and optimization algorithms. Their most cited work, "Mobile Robot Path Planning and Research in the Improved Artificial Immune Algorithm" (2012, 4 citations), addresses a critical challenge in autonomous navigation: the local optimal problem in path planning using artificial immune algorithms. Dr. Lu proposed an innovative improvement by integrating the artificial potential field method—specifically its potential function—into the artificial immune algorithm framework. This hybrid approach enhances the robot's ability to escape local minima and find more efficient, collision-free paths in complex environments. While their citation count is modest, this work represents a meaningful contribution to the intersection of bio-inspired computing and mobile robotics, offering a practical solution to a persistent issue in autonomous navigation. Dr. Lu’s research is particularly relevant for students and engineers working on real-time path planning for autonomous vehicles, drones, or service robots, demonstrating how classical methods like potential fields can be synergized with adaptive immune algorithms to improve performance.