Kang Suk-Bum

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About

Dr. Kang Suk-Bum is a pioneering researcher in autonomous mobile robotics and intelligent control systems, with a primary focus on fuzzy logic-based navigation and obstacle avoidance. His most cited work, "A Fuzzy Control of Autonomous Mobile Robot for Obstacle Avoidance" (2006), introduced a novel fuzzy controller and algorithm that enables robots to navigate unknown environments by processing ultrasonic sensor data for obstacle detection and distance recognition. By employing fuzzification for precise angular velocity control of left and right wheels, Dr. Kang’s approach allows mobile robots to adaptively avoid obstacles in real-time, even in unstructured spaces. This contribution has garnered 3 citations and laid foundational groundwork for subsequent advances in autonomous navigation. His research integrates fuzzy logic, sensor fusion, and real-time control, addressing critical challenges in robotic perception and decision-making. Dr. Kang’s work is particularly notable for its practical application in autonomous systems, where his fuzzy control method enhances safety and efficiency. For students and researchers in robotics and AI, his studies offer a valuable framework for developing intelligent, adaptive robots capable of operating in dynamic, unknown environments.