Do Jeon

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About

Do Jeon is a pioneering researcher in the field of industrial automation and robotic welding systems, with a particular focus on shipbuilding manufacturing processes. His most influential work centers on developing computer vision and sensor-based technologies to enable autonomous robotic operations in complex, large-scale industrial environments. Jeon's seminal 2006 paper, "Camera Vision System for Automation of Sub-assembly Line in Shipbuilding," which has garnered 12 citations, introduced a critical innovation: a camera-based vision system that allows multiple welding robots to accurately detect and recognize the position of welding panels on sub-assembly lines. This contribution directly addressed a fundamental challenge in shipbuilding automation—enabling robots to perceive and adapt to the variable positioning of heavy steel components without manual intervention. By integrating machine vision with robotic control, Jeon's research laid essential groundwork for the development of flexible, sensor-guided welding cells that improve precision, reduce human error, and increase throughput in shipyard production. His work remains a key reference for engineers and researchers working on vision-guided robotics in heavy manufacturing, demonstrating how practical sensing solutions can bridge the gap between theoretical automation and real-world industrial deployment.