Yun-Geun Choe

Papers

Total Citations

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About

Yun-Geun Choe is a researcher specializing in intelligent automation and safety systems for industrial environments, with a particular focus on mining and construction robotics. His most notable contribution is the development of a Bolting Cabin Assistance System using a sensor network, which enhances operator safety by preventing exposure to hazardous situations during bolting operations. This system integrates a bolting robot control mechanism with a top-view supervisory framework, employing circular Hough transforms for pattern recognition and fuzzy reasoning for adaptive decision-making. Although his seminal 2012 paper has garnered 3 citations, its practical significance lies in addressing critical safety challenges in underground mining—a field where human-robot collaboration is increasingly vital. Choe’s work exemplifies the application of computer vision and intelligent control to reduce workplace risks, bridging the gap between theoretical algorithms and real-world industrial needs. His research contributes to the broader domain of sensor-based automation, offering a template for future systems that prioritize both efficiency and human well-being in high-risk settings.