Gwan Ryong Baek

Papers

Total Citations

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About

Gwan Ryong Baek is a researcher focused on robotics and computer vision, with particular expertise in construction automation and visual perception systems. His most-cited work, "Cognition System of Bolt Hole Using Template Matching" (2011), addresses a critical challenge in construction robotics: enabling bolting robots to reliably detect bolt holes under variable lighting conditions. By applying template matching algorithms, Baek contributed to improving the accuracy and robustness of robotic assembly in steel frame construction, reducing process time and enhancing worker safety. Though his citation count stands at five, his work represents an important step in bridging computer vision and field robotics for practical industrial applications. Baek’s research underscores the growing need for adaptive perception systems in unstructured environments, and his findings offer a foundation for future developments in automated construction and intelligent manufacturing.