Papers
11
Total Citations
55
H-Index
5
About
Jeong Suh is a researcher whose work spans robotic laser welding systems, welding process automation, materials science, and advanced robot control. Over a career bridging manufacturing engineering and intelligent systems, Suh has made significant contributions to the integration of vision-guided sensing with robotic laser welding, developing compact, intelligent profile sensors capable of real-time seam tracking and quality monitoring in automotive manufacturing applications. His early foundational work in the late 2000s established sensor-guided frameworks for laser welding robots, including systems employing stripe-type laser diodes and PC-based vision cameras that enabled precise weld path detection. Suh also investigated remote laser welding using scanner-robot combinations to reduce cycle times in car body production — a practically impactful advancement for the automotive industry. His materials-oriented research examined solidification cracking susceptibility in austenitic stainless steel laser welds using Varestraint testing, contributing valuable insights into weld microstructure and defect prevention. More recently, Suh has extended his scope to robot motion control, introducing a virtual force-tracking impedance control framework to improve end-effector trajectory accuracy. With cumulative citations across more than ten publications, his body of work represents a meaningful intersection of precision manufacturing, intelligent sensing, and robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Development of Welding Profile Sensor and Its Application7 citations · 2008
- 4Welding on the fly by using laser scanner and robot6 citations · 2011
- 5Intelligent vision sensor for the robotic laser welding6 citations · 2008
- 6Sensor Guided Laser Welding Robot System4 citations · 2008
- 7Study of Intelligent Vision Sensor for the Robotic Laser Welding4 citations · 2019
- 8Study on Robot Application Technology for Laser Welding4 citations · 2008
- 9Quality monitoring of laser welding3 citations · 2010
- 10