Yih-Young Chen

National Yang Ming Chiao Tung University, Chinese Culture University

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About

Yih-Young Chen is a researcher specializing in intelligent control systems, robotics, and computational intelligence, with a particular focus on the integration of neural networks and fuzzy logic for autonomous robotic applications. His most recognized contributions center on the development of neural-fuzzy-based control frameworks for two-wheeled robotic systems — a technically challenging domain requiring precise balance and motion coordination under dynamic and uncertain conditions. Chen's 2010 paper on designing neural-fuzzy controllers for autonomously driven wheeled robots stands as his most impactful work, accumulating 40 citations and demonstrating a robust approach to autonomous navigation and control. Complementing this, his work on balance control for two-wheeled robots introduced an innovative fuzzy controller that employs a total sliding surface as the input variable, enhancing system resilience to uncertainties and disturbances — a meaningful advancement in robust control design. Together, these contributions reflect Chen's commitment to bridging soft computing methodologies with practical robotics engineering. His research has provided foundational techniques for scholars and engineers working on self-balancing robots and intelligent autonomous systems, making him a notable contributor to the fields of fuzzy systems, neural computing, and mobile robotics control.