Papers
10
Total Citations
153
H-Index
8
About
Yosoon Choi is a leading researcher in autonomous robotics for extreme environments, with a primary focus on underground mining operations. His work centers on developing self-driving robots that can navigate, map, and patrol hazardous mine tunnels, significantly improving safety by removing humans from dangerous conditions. Choi’s major contributions include pioneering machine vision and LiDAR-based location estimation methods, such as pattern-matched sequential images and 3D point cloud registration, which enable robots to accurately determine their position and create detailed 3D tunnel maps in GPS-denied environments. His most cited work, “Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images” (2021, 48 citations), demonstrates a robust approach to autonomous navigation. Beyond navigation, he has developed patrol robots for mine safety and smart hopper systems using collaborative robots and machine vision to clear blockages. With over 150 total citations across his top papers, Choi’s research is foundational to the emerging field of autonomous mining, directly addressing real-world challenges in safety and efficiency. His notable achievements include field experiments in active mines, proving the practical viability of his systems.
Research Focus
Key Achievements
Top Papers
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- 10Review of Space Industry and Technology for Asteroid Mining4 citations · 2021