Kong-Woo Lee

Papers

Total Citations

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About

Dr. Kong-Woo Lee’s research focuses on intelligent robotics and swarm navigation, with key contributions in dynamic localization and congestion avoidance for multi-robot systems. His most cited work, “Dynamic localization with hybrid trilateration for mobile robots in intelligent space” (2008, 12 citations), introduced a robust method for real-time robot positioning in sensor-rich environments, advancing autonomous navigation in constrained spaces. Building on this, his 2012 paper “Congestion Avoidance for Multiple Micro-Robots Using the Behaviour of Fish Schools” (6 citations) addresses a critical challenge in micro-robot swarms: preventing gridlock when multiple agents converge. By mimicking fish schooling behavior, Lee proposed a decentralized, bio-inspired solution that enables efficient traffic flow without centralized control—a notable achievement for scalable micro-robot systems. Though his citation counts are modest, his work bridges theoretical swarm intelligence with practical robotics, offering foundational insights for researchers tackling congestion in dense robot teams. Lee’s research remains relevant for students exploring bio-inspired algorithms and localization in intelligent spaces.