Young‐Hee Lee

Technical University of Munich, Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Young-Hee Lee is a researcher at the forefront of cooperative robotics and intelligent spatial perception, with a focus on enhancing autonomous navigation and context-aware systems. Her work bridges the gap between multi-robot coordination and smart environment sensing, contributing to more robust and efficient exploration technologies. Lee’s most cited paper (2018, 8 citations) introduces a method for significantly improving the accuracy of visual SLAM by tightly coupling sparse ranging measurements between two rovers. This innovation addresses a critical challenge in swarm robotics—enabling teams of camera-equipped robots to collaboratively map unknown environments with greater precision and resilience than individual platforms, a vital step for applications in planetary exploration and disaster response. Her earlier research (2016, 2 citations) explores place recognition in the Internet of Things (IoT), proposing a key-device-based similarity measure to identify locations for context-aware services. By moving beyond traditional vision or GPS-dependent methods, Lee’s work offers a novel approach to spatial understanding in smart environments. Her contributions demonstrate a clear trajectory from foundational place recognition to advanced cooperative SLAM, marking her as a promising voice in the evolution of autonomous, interconnected robotic systems.