Papers
2
Total Citations
34
H-Index
2
About
SJ Yan is a leading researcher in robotic welding automation, with a focus on optimizing multi-pass welding processes for large-dimension joints used in shipbuilding and oilfield construction. His work addresses a critical industrial challenge: the need for efficient, precise welding of thick, nonuniform grooves that traditionally require tens of hours of manual labor. Yan’s major contributions include developing optimal pass planning algorithms that systematically determine weld bead sequences and trajectories, significantly reducing programming time and improving weld quality. His 2016 paper on deep-groove joints (25 citations) and 2017 follow-up on nonuniform grooves (9 citations) provide foundational frameworks for automating complex, multi-pass tasks. By integrating geometric analysis with robotic path planning, Yan’s research bridges the gap between theoretical robotics and heavy-industry applications, enabling faster, more reliable production. His work is widely cited by engineers and researchers seeking to enhance welding efficiency in demanding environments, marking him as a key innovator in manufacturing automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2