Yihong Chen

Ming Chi University of Technology, Tamkang University

Papers

Total Citations

H-Index

About

Yihong Chen is a robotics researcher whose work focuses on intelligent control systems, autonomous navigation, and computer vision for mobile robots. Chen’s major contributions lie in enhancing robot performance through adaptive control and efficient path planning. Their most cited paper (9 citations) introduces an Adaptive Neural Fuzzy Inference System (ANFIS) controller that outperforms traditional PID and fuzzy controllers by enabling intelligent self-learning for smoother mobile robot movement. Another key contribution is a modified A* path planning algorithm (7 citations) that balances distance and safety in known indoor environments, improving autonomous navigation reliability. Chen also developed a monocular vision system for home security robots (6 citations) that rapidly recognizes colored circular objects through segmentation and circle detection algorithms. This work demonstrates practical applications in domestic robotics, combining real-time image processing with robust object recognition. Chen’s research bridges theoretical control methods with real-world robotic systems, offering valuable insights for students and researchers interested in intelligent robotics, fuzzy logic control, and autonomous navigation. Their work continues to influence the development of safer, more adaptive mobile robots for service and security applications.