Su Ying Zhang

Hebei University of Science and Technology

Papers

Total Citations

H-Index

About

Su Ying Zhang is a leading researcher in mobile robotics, specializing in path planning and intelligent control systems. Her work addresses critical challenges in autonomous navigation, particularly the local minima problem in artificial potential field methods, which she tackled in her most-cited paper, "Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method" (30 citations). Zhang has also advanced fuzzy logic and adaptive PID control strategies for wheeled robots, as demonstrated in her studies on fuzzy-PID controllers for sensor-based obstacle avoidance and brushless DC motor regulation. Her contributions bridge theoretical control algorithms with practical robotic applications, enhancing the efficiency and reliability of autonomous systems in dynamic environments. With a focused body of work spanning over a decade, Zhang's research continues to influence the development of robust, real-time navigation solutions for mobile robots. Her papers serve as foundational references for engineers and researchers seeking to improve robot autonomy through hybrid control techniques.