C. G. Morgan

Papers

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About

C. G. Morgan’s pioneering research lies at the intersection of robotics, computer vision, and automated manufacturing, with a specific focus on adaptive control for industrial arc welding. His major contribution was advancing model-based visual feedback systems that enabled conventional robots to perform MIG welding on thin (1–2 mm) sheet steel—a notoriously challenging task due to fit-up variability, tool wear, springback, and thermal distortion. By integrating real-time visual sensing with robotic control, Morgan’s work addressed critical limitations in precision and repeatability for automotive and sheet-metal fabrication. His most cited paper, “An Implementation of Model-Based Visual Feedback for Robot Arc Welding of Thin Sheet Steel” (1985, 63 citations), remains a foundational reference in adaptive robotic welding. Though his earlier “Progress in Visual Feedback for Robot Arc-Welding of Thin Sheet Steel” (1983) has fewer citations, it laid essential groundwork for closed-loop vision-guided systems. Morgan’s research directly influenced the development of more flexible, fault-tolerant manufacturing processes, reducing reliance on costly fixturing and manual rework. His work continues to inform modern robotic welding systems, where visual feedback is now standard for high-precision, low-tolerance applications.