Xuanzi Hu

Papers

Total Citations

H-Index

About

Dr. Xuanzi Hu is a pioneering researcher in mobile robotics, with a focused expertise in bio-inspired computational methods for autonomous navigation. Her work centers on developing intelligent path planning algorithms that enable robots to navigate complex environments efficiently. Dr. Hu’s major contributions lie in adapting and enhancing evolutionary and immune-inspired algorithms to overcome the limitations of traditional genetic algorithms, which are often time-consuming and inefficient. She introduced a Niche Genetic Algorithm for robot path planning, a method that has garnered 17 citations for its ability to improve convergence speed and solution diversity. Further advancing the field, Dr. Hu proposed an artificial immune network approach for path planning, earning 10 citations for its novel application of biological principles to obstacle avoidance. Her most refined work, a clonal selection-based method (5 citations), elegantly integrates antibody encoding and immune operators to optimize both path distance and obstacle intersection. Through these achievements, Dr. Hu has established a robust framework for adaptive, real-time robot navigation, laying critical groundwork for autonomous systems in dynamic environments. Her research remains a valuable resource for students and engineers seeking efficient, nature-inspired solutions to path planning challenges.