Yen-Hau Fan

Papers

Total Citations

H-Index

About

Yen-Hau Fan is a robotics researcher whose work focuses on the control and navigation of autonomous mobile platforms, particularly self-balancing two-wheeled robots. His most-cited paper, "Planned navigation of a self-balancing autonomous service robot" (2008, 9 citations), introduces a novel control architecture that integrates kinematical trajectory tracking with adaptive control strategies. This work addresses the fundamental challenge of maintaining stability while executing planned navigation paths, a critical problem for service robots operating in human environments. Fan's contributions lie in bridging the gap between theoretical control systems and practical robotic applications, specifically through linearized mathematical modeling that accounts for real-world friction dynamics. His research has implications for the development of agile, space-efficient service robots capable of navigating complex indoor environments. While his citation count reflects a focused, early-career impact, Fan's work represents an important step toward practical, self-balancing autonomous systems that can operate safely and efficiently alongside humans.