Kihwan Ryoo

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Kihwan Ryoo is a researcher specializing in multi-robot systems, sensor fusion, and state estimation for autonomous platforms, with a particular focus on unmanned aerial vehicles (UAVs) and ground robots. His work addresses critical challenges in cooperative localization, especially in GNSS-denied environments where global positioning is unavailable. Ryoo’s major contributions include developing a multi-robot cooperative localization framework that integrates single ultra-wideband (UWB) error correction, enabling more accurate relative positioning for task distribution and collision avoidance among robot teams. He has also advanced multi-UAV pose estimation by fusing visual-inertial and range sensor data, achieving real-time state estimation in complex environments. While his most-cited papers currently have modest citation counts (2–3), reflecting the recency of his work (2023–2024), his research is positioned at the forefront of scalable, sensor-rich multi-robot systems. Ryoo’s achievements are notable for their practical focus on deploying robust, real-time solutions that combine cameras, LiDAR, and UWB, directly supporting the next generation of autonomous swarms in search-and-rescue, surveillance, and industrial applications.