Byeong-Cheol Moon

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Byeong-Cheol Moon is a leading researcher in robotics and indoor positioning systems, with a focus on enhancing mobile robot autonomy through sensor fusion. His most cited work, "Fusion of the SLAM with Wi-Fi-Based Positioning Methods for Mobile Robot-Based Learning Data Collection, Localization, and Tracking in Indoor Spaces" (2020, 21 citations), addresses a critical challenge in robotics: enabling mobile robots to quickly and accurately determine their location in indoor environments. Moon's major contribution lies in integrating Simultaneous Localization and Mapping (SLAM) with Wi-Fi-based positioning, overcoming the limitations of relying solely on dead reckoning or pre-mapped data. This hybrid approach not only improves localization precision but also facilitates robust data collection and tracking for learning-based robotic systems. His work has significant implications for service robotics, warehouse automation, and smart indoor navigation, where real-time, reliable positioning is essential. With 21 citations, this paper underscores Moon's impact in advancing practical solutions for mobile robot deployment in complex indoor spaces. His research continues to bridge the gap between theoretical SLAM algorithms and real-world applications, making him a notable figure in the field of autonomous systems.