Xiahong Yin

Papers

Total Citations

H-Index

About

Xiahong Yin has made significant contributions to the field of robotics and computational intelligence, with a primary focus on robot path planning and optimization algorithms. Their most cited work, "An improved shuffled frog leaping algorithm for robot path planning" (2014, 15 citations), addresses one of the most challenging subjects in robot control by introducing a novel updating mechanism based on the median strategy. This innovation helps avoid local optima, improving the efficiency and reliability of autonomous navigation systems. Yin's research lies at the intersection of bio-inspired metaheuristics and practical robotics, offering scalable solutions for complex, real-world path planning problems. By enhancing the shuffled frog leaping algorithm, they have provided a robust tool for researchers and engineers working on autonomous systems. With a citation count that underscores the relevance of their work, Yin continues to influence the development of intelligent robotic systems, making their research a valuable resource for students and professionals seeking to advance the state of the art in robot control and optimization.