Yun-Woo Lee

Seoul National University, Korea Research Institute of Standards and Science

Papers

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About

Yun-Woo Lee is a leading researcher in multirobot systems, autonomous navigation, and industrial robotics, with a focus on enabling robust collaboration among robotic agents in complex environments. His most impactful work, "Multirobot Collaborative Monocular SLAM Utilizing Rendezvous" (2021, 43 citations), addresses a fundamental challenge in simultaneous localization and mapping (SLAM) by developing a systematic framework for map fusion across multiple robots. This contribution is critical for deploying robot teams in GPS-denied or unstructured settings, such as search-and-rescue or planetary exploration. Lee also advanced precision manufacturing with his 2018 study on real-time monitoring and control of a 6-degree-of-freedom industrial robot for grinding and polishing large-aperture aspherical mirrors used in satellites—a process demanding exceptional accuracy over long durations. Most recently, his 2025 paper on decentralized trajectory planning for quadrotor swarms in cluttered environments introduces a novel algorithm that guarantees goal convergence while avoiding deadlock or livelock, significantly improving the scalability and safety of multi-agent systems. Through these works, Lee has demonstrated a consistent ability to bridge theoretical innovation with practical deployment, earning recognition for his contributions to both collaborative autonomy and high-precision automation.