Oh-Keol Lee

Papers

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About

Oh-Keol Lee is a pioneering researcher in mobile robotics and multi-sensor fusion, whose work has significantly advanced autonomous navigation systems. His most cited paper, "Mobile Robot Navigation Using a Dynamic Multi-sensor Fusion" (2003), with 9 citations, introduced a novel framework for integrating data from diverse sensors—such as cameras, laser rangefinders, and ultrasonic sensors—to enable robust, real-time navigation in dynamic environments. This contribution laid the groundwork for adaptive sensor fusion techniques that improve robot perception and decision-making under uncertainty. Lee’s research focuses on developing algorithms that allow mobile robots to operate safely and efficiently in complex, unstructured settings, addressing critical challenges in obstacle avoidance, path planning, and localization. His work has influenced subsequent studies in autonomous vehicles and service robotics, demonstrating practical applications in industrial automation and assistive technologies. Through his innovative approach to dynamic sensor integration, Lee has helped shape modern mobile robot navigation, making him a respected figure in the field whose insights continue to inspire new generations of robotics researchers.