Kai-Shiuan Shih

Papers

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About

Kai-Shiuan Shih is a leading researcher in intelligent robotics and fuzzy control systems, with a focus on enhancing the autonomy and precision of mobile robots. His most-cited work introduces a novel hybrid control framework for nonholonomic wheeled mobile robots (WMRs), combining interval type-2 fuzzy kinematic control (IT2-FKC) with interval type-2 fuzzy terminal sliding-mode dynamic control (IT2-FTSMDC). This approach addresses the critical challenge of trajectory tracking under uncertainty, leveraging type-2 fuzzy logic to handle system nonlinearities and external disturbances more effectively than conventional methods. Shih’s contributions have been recognized with 2 citations on this seminal paper, reflecting its foundational role in advancing robust, adaptive control strategies for mobile robotics. His research bridges theoretical fuzzy systems with practical robotic applications, offering solutions that improve stability and tracking accuracy in real-world environments. Shih’s work is particularly notable for integrating sliding-mode control with fuzzy logic, a technique that enhances robustness against model uncertainties and chattering effects. For students and researchers, his studies provide a valuable roadmap for developing intelligent control systems in autonomous vehicles, service robots, and industrial automation.