Young Soo Suh

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About

Young Soo Suh is a researcher whose work sits at the intersection of sensing technology, robotics, and precision measurement. Best known for his comprehensive 2019 survey on laser sensing — which has garnered 62 citations and stands as his most influential contribution — Suh has made significant strides in advancing our understanding of optical measurement techniques, including triangulation, time-of-flight, confocal, and interferometric methods for measuring displacement, distance, position, surface profiles, and velocity. This work serves as an essential reference for engineers and scientists working with modern sensing systems. Beyond laser metrology, Suh has contributed meaningfully to robotics, exploring how machines can interact intelligently with their environment and human users. His 2011 work on human-following robots using infrared cameras addressed practical challenges in target detection, robot control, and obstacle avoidance — problems with clear applications in manufacturing and everyday life. Earlier, his 2007 research introduced an innovative virtual link-based remote control method leveraging cameras and gyroscopes, demonstrating his early interest in intuitive human-robot interaction. Across his career, Suh has consistently bridged theoretical sensing principles with real-world robotic applications, making his research valuable to students and practitioners alike in the fields of mechatronics and intelligent systems.