Hyungwon Sung

Papers

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About

Hyungwon Sung is a researcher specializing in robotic vision and automation, with a particular focus on hand/eye calibration systems for industrial robots. His most notable contribution is the development of a robot-camera self-calibration system using a planar target, which simplifies the traditionally complex process of estimating the conversion relationship between a robot hand and an attached camera. This work, published in 2013, has garnered 11 citations and offers a practical, streamlined alternative to conventional calibration methods, enhancing accuracy and efficiency in vision-based industrial applications. Sung's research addresses critical challenges in robotic perception and control, making significant strides in automating calibration procedures. His work is particularly valuable for students and researchers in robotics and computer vision, as it provides a robust framework for improving robot manipulation and visual feedback systems. Through his innovative approach, Sung contributes to advancing the precision and reliability of automated systems in manufacturing and beyond.