Yan Kai Shen

Hebei University of Science and Technology

Papers

Total Citations

H-Index

About

Yan Kai Shen is a robotics researcher whose work focuses on intelligent path planning and control systems for mobile robots. His primary research areas include artificial potential field methods, fuzzy logic control, and adaptive PID control strategies for autonomous navigation. Shen’s most influential contribution is his 2014 paper on improving the artificial potential field method, which has garnered 30 citations. This work addresses the critical problem of local minima—a major limitation in traditional path planning—by introducing a modified repulsion function, enabling smoother and more reliable robot movement in complex environments. In his 2015 study, Shen further advanced the field by integrating fuzzy logic with adaptive PID control, creating a sensor-driven system that dynamically adjusts to environmental changes. This dual-controller approach enhances both the efficiency and stability of mobile robot navigation. While his citation counts reflect a growing impact, Shen’s work is particularly valued for its practical, implementable solutions to real-world robotics challenges. His research serves as a foundational reference for engineers and students developing autonomous systems, offering clear methodologies for overcoming common obstacles in robot path planning and control.