Taewook Kim
Papers
1
Total Citations
10
H-Index
1
About
Taewook Kim is a researcher in advanced manufacturing and automation, with a primary focus on welding process monitoring and control. His key contributions lie in the development of real-time sensing and image processing techniques for automated welding systems. His most cited work, "A study on the welding seam tracking by using Laser Vision Sensor" (2010, 10 citations), introduces a pre-measurement method for tracing welding paths using a Laser Vision Sensor (LVS). By projecting a line laser onto the weldment and capturing images with a vision sensor, Kim’s method detects center points of the welding path through sophisticated image processing, enabling precise seam tracking. This foundational work addresses critical challenges in automated welding, such as path accuracy and adaptability to varying joint geometries. While his citation count reflects a niche but impactful contribution, Kim’s research is notable for integrating computer vision with industrial robotics, offering practical solutions for improving weld quality and efficiency. His work serves as a valuable reference for engineers and researchers developing intelligent manufacturing systems, particularly in sectors like automotive and shipbuilding where precision welding is essential.
Research Focus
Key Achievements
Top Papers
- 1A study on the welding seam tracking by using Laser Vision Sensor10 citations · 2010