Sehun Rhee
Papers
3
Total Citations
100
H-Index
3
About
Sehun Rhee is a leading authority in intelligent welding automation, with a career dedicated to advancing laser vision sensing and robotic control for high-precision manufacturing. His foundational work on the **multiline laser vision sensor (MLVS)** revolutionized joint tracking in high-speed welding, overcoming the limitations of single-line sensors to enable accurate detection even in demanding conditions—a contribution that has earned 48 citations. Rhee also pioneered **automatic teaching systems for welding robots**, allowing free-formed seams to be programmed without manual intervention, a breakthrough that has garnered 40 citations and remains influential in shipbuilding and heavy industry. More recently, he has integrated **deep learning for real-time weld gap monitoring and quality control**, developing algorithms that ensure consistent bead shape during flux-cored arc welding despite variable gaps—a critical innovation for shipbuilding cited 12 times. With a career spanning from foundational sensor development to cutting-edge AI applications, Rhee’s work directly addresses industrial challenges in speed, precision, and quality, making him a key figure in the evolution of smart welding systems.
Research Focus
Key Achievements
Top Papers
- 1Development of a Multiline Laser Vision Sensor for Joint Tracking in Welding48 citations · 2009
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