Do-Hyeong Kim
Papers
2
Total Citations
65
H-Index
2
About
Do-Hyeong Kim is a researcher focused on advancing robotic welding automation through intelligent image processing and optimization algorithms. His primary research areas include weld seam tracking, computer vision for manufacturing, and the development of real-time control systems for Gas Metal Arc (GMA) and Metal Inert Gas (MIG) welding processes. Kim’s major contribution lies in enhancing the accuracy and reliability of seam tracking—a critical technology for improving weld quality and production capacity in industrial robotics. His most cited work, “A study on the modified Hough algorithm for image processing in weld seam tracking” (2015), has garnered 59 citations, demonstrating its influence in the field. In this study, he refined the classic Hough transform to better detect weld joint geometries under challenging conditions. His subsequent work on optimization algorithms for seam tracking further underscores his commitment to solving practical manufacturing challenges. By bridging computer vision and welding engineering, Kim has helped lay the groundwork for more autonomous, precise robotic welding systems. His research continues to inform both academic studies and industrial applications, making him a notable contributor to the evolution of smart manufacturing technologies.
Research Focus
Key Achievements
Top Papers
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- 2