Yi-Feng Kao

Papers

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About

Yi-Feng Kao is a leading researcher in mobile robotics, specializing in intelligent control systems and autonomous navigation. His work focuses on developing hybrid algorithms that integrate path planning with real-time trajectory tracking for wheeled mobile robots (WMRs). Kao’s most influential contribution is a hybrid intelligent algorithm that combines the D* Lite path-planning method with adaptive dynamic controllers, enabling robots to autonomously determine the shortest route while maintaining precise trajectory following. This approach, detailed in his highly cited 2016 paper (26 citations), addresses critical challenges in indoor navigation by balancing computational efficiency with robust control performance. His earlier 2013 work on adaptive dynamic controllers laid the foundation for these advances, demonstrating how self-tuning systems can compensate for dynamic uncertainties in robot motion. Kao’s research has practical implications for warehouse automation, service robotics, and autonomous vehicles, where reliable path planning and control are essential. By bridging the gap between theoretical control design and real-world implementation, he has established himself as a key contributor to the field of intelligent mobile robotics.