Chih-Hui Chiu

National Taiwan Ocean University, Yuan Ze University

Papers

Total Citations

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About

Chih-Hui Chiu is a researcher specializing in intelligent control systems, fuzzy logic, and autonomous robotic platforms. His work focuses on developing advanced control methodologies for complex, real-world robotic applications, with a particular emphasis on designing systems capable of adaptive and stable motion in dynamic environments. Chiu's most notable contribution is his development of the Dual Takagi-Sugeno Fuzzy Control Scheme (DTSFCS), published in 2019, which addresses the challenge of omnidirectional control in ball robot systems. This work, garnering 16 citations, demonstrates a practical fusion of two fuzzy control approaches to tackle non-trivial real-world control problems. Earlier in his career, Chiu explored neural network-based control strategies, including the Adaptive Output Recurrent Cerebellar Model Articulation Controller (AORCMAC), applied to two-wheeled robot balancing and motion control — a technically demanding problem requiring precise real-time adaptation. Across his research portfolio, Chiu has consistently bridged theoretical intelligent control design with tangible engineering implementations. His contributions are particularly valuable for students and practitioners working in autonomous robotics, neuro-fuzzy systems, and self-balancing vehicle control, offering both innovative frameworks and demonstrated real-world applicability.