Changhee Lee
Papers
1
Total Citations
40
H-Index
1
About
Changhee Lee is a pioneering researcher in intelligent robotic welding systems, with a primary focus on sensor-guided automation and adaptive control for manufacturing. His most influential work, "Automatic teaching of welding robot for free-formed seam using laser vision sensor" (1999, 40 citations), introduced a groundbreaking method for enabling robots to autonomously perceive and track complex, non-linear weld seams without manual programming. This contribution significantly advanced the field of robotic welding by integrating laser vision sensors with real-time path planning, reducing setup time and improving precision in industrial applications. Lee's research bridges the gap between computer vision, robotics, and manufacturing, offering practical solutions for free-form seam tracking that have been widely adopted in automotive and heavy machinery production. His work has laid the foundation for modern adaptive welding systems, demonstrating how sensor feedback can replace traditional teach-pendant methods. With a career dedicated to enhancing robotic autonomy, Lee remains a key figure in smart manufacturing, inspiring further innovations in human-robot collaboration and intelligent process control.
Research Focus
Key Achievements
Top Papers
- 1