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About

Geun-Taek Kang is a pioneering researcher in intelligent robotics and fuzzy control systems, with a career spanning from underwater autonomy to indoor robot navigation. His foundational work on fuzzy model-based control for underwater robotic vehicles (URVs) addressed the critical challenge of nonlinear thruster dynamics, providing a robust framework that has influenced subsequent URV control design (10 citations). Kang further advanced the field by developing a fuzzy logic mediator for robot soccer tactics, demonstrating how fuzzy systems can enable strategic decision-making in dynamic, multi-agent environments (8 citations). His research on autonomous mobile robot navigation integrated vision and IR sensors with fuzzy rules, solving path planning and obstacle avoidance in unknown environments—a key contribution to practical field robotics (3 citations). More recently, Kang explored visible light communication (VLC) for indoor positioning, combining LED-based beacons with fuzzy logic to achieve accurate localization where GPS fails (2 citations). Throughout his career, Kang has consistently shown how fuzzy logic can bridge the gap between sensor uncertainty and reliable robot autonomy, making his work essential reading for students and researchers in intelligent control and mobile robotics.