Heonmoo Kim
Papers
2
Total Citations
45
H-Index
2
About
Heonmoo Kim is a researcher specializing in autonomous robotics and navigation systems for challenging underground environments, particularly mining applications. His work focuses on developing intelligent robotic solutions that address the unique localization and navigation challenges posed by GPS-denied subterranean settings such as mine tunnels. Kim's most notable contributions include a systematic comparative study of location estimation methods for autonomous underground mining robots, evaluating the performance of IMU with encoder sensors, LiDAR with encoder sensors, and combined IMU-LiDAR-encoder systems. This work, which has garnered 23 citations since its 2020 publication, provides valuable practical guidance for engineers designing navigation systems in environments where conventional positioning technologies fail. Building on this foundation, his 2021 research introduced an autonomous robot capable of navigating complex underground tunnel networks by recognizing road signs through machine-vision-based geometric matching algorithms, enabling reliable route-following and return capabilities at tunnel intersections — a significant practical advancement cited 22 times. Kim's research sits at the intersection of robotics, computer vision, and mining engineering, contributing meaningfully to the safety and automation of hazardous underground operations. His work represents an important step toward reducing human exposure to dangerous mining environments through intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2