Ming Feng Hsieh

National Taipei University of Technology, The Ohio State University

Papers

Total Citations

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About

Ming Feng Hsieh is a researcher whose work bridges the critical domains of autonomous vehicle control and robotic navigation. His most influential contributions center on path planning and vehicle stability, with a particular focus on real-world driving scenarios. Hsieh’s highest-cited paper, “Robot path planning based on three-dimensional artificial potential field” (2025), has already garnered 18 citations, showcasing a novel approach to spatial navigation. His earlier foundational work includes a path following control algorithm for urban driving (2008, 8 citations), which introduced the circular look-ahead (CLA) steering controller—a method specifically designed to minimize errors during cornering and at unsuitable speeds. Further demonstrating his impact on vehicle safety, Hsieh developed a yaw inertia and mass independent adaptive control system for vehicle stability and trajectory tracking (2009, 7 citations). This work is notable for enhancing both passenger car safety and the precision of autonomous trajectory tracking. Through these contributions, Hsieh has advanced the practical application of control theory, making autonomous systems more reliable in complex, dynamic environments.