Chih‐Keng Chen

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About

Dr. Chih-Keng Chen is a leading figure in the field of autonomous vehicle dynamics and intelligent control systems, with a particular focus on unconventional and highly unstable platforms. His research bridges the critical gap between theoretical modeling and practical, real-time control for complex robotic systems. Dr. Chen’s most impactful work, "Genetic Fuzzy Control for Path-Tracking of an Autonomous Robotic Bicycle" (2007, 25 citations), addresses the formidable challenge of balancing and steering a non-holonomic, inherently unstable single-track vehicle. This pioneering study demonstrated how genetic algorithms could optimize fuzzy logic controllers to achieve stable path tracking, a foundational contribution to the field of two-wheeled autonomous mobility. He further advanced the state of the art in aerial robotics with his 2017 work on "Dynamic Modeling and Hardware-In-Loop Simulation for a Tail-Sitter Unmanned Aerial Vehicle" (14 citations). In this study, Dr. Chen developed a comprehensive six-degree-of-freedom dynamic model and a sophisticated HIL simulation environment, enabling safer and more efficient development of VTOL UAVs. Through these contributions, Dr. Chen has established himself as an expert in merging advanced control theory with complex mechanical systems, directly impacting the development of next-generation autonomous ground and aerial vehicles.