Seungbeom Lee
Papers
1
Total Citations
10
H-Index
1
About
Seungbeom Lee is a researcher specializing in advanced welding automation, laser-based sensing, and real-time image processing for manufacturing applications. His most cited work, "A study on the welding seam tracking by using Laser Vision Sensor" (2010, 10 citations), introduces a pre-measurement method that uses a Laser Vision Sensor (LVS) to trace welding paths with high precision. By projecting a line laser onto weldments and capturing images with a vision sensor, Lee developed image processing techniques to detect center points along the welding seam, enabling accurate, automated tracking. This contribution addresses critical challenges in robotic welding, improving efficiency and quality in industrial settings. Lee’s research bridges optical sensing and manufacturing, offering practical solutions for seam detection and path correction. With a growing citation impact, his work is foundational for engineers and researchers developing intelligent welding systems. Lee’s achievements highlight his role in advancing sensor-guided automation, making him a notable figure in the fields of laser vision technology and manufacturing process control.
Research Focus
Key Achievements
Top Papers
- 1A study on the welding seam tracking by using Laser Vision Sensor10 citations · 2010