Kyoung Mu Lee

Papers

Total Citations

147

H-Index

About

Kyoung Mu Lee is a leading figure in robotics and computer vision, best known for pioneering work in visual simultaneous localization and mapping (SLAM). His research focuses on developing robust, vision-based navigation systems that enable robots to understand and move through their environments with high precision. Lee’s most influential contribution is the CV-SLAM technique, a ceiling vision-based approach that uses a single upward-facing camera to achieve fast and accurate localization. This work, cited over 118 times, was specifically designed for practical applications like intelligent robot vacuum cleaners, where reliability and cost-effectiveness are critical. He further advanced the field by extending this framework to multi-robot SLAM, allowing multiple robots to cooperatively map an environment without prior knowledge of each other’s positions—a key challenge in real-world deployment. Lee’s research bridges the gap between theoretical SLAM algorithms and real-world robotic systems, emphasizing efficiency and scalability. His contributions have been foundational for indoor navigation and autonomous cleaning robots, making him a respected authority in vision-based robotics.