Shanben Chen
Papers
16
Total Citations
367
H-Index
7
About
Shanben Chen is a pioneering researcher in intelligent robotic welding systems, with expertise spanning computer vision, process control, and automation in arc welding. Based at the forefront of welding robotics, Chen has dedicated his career to transforming traditional welding into a fully intelligentized discipline, as reflected in his most influential work, "Research Evolution on Intelligentized Technologies for Arc Welding Process" (2013), which has garnered over 150 citations and remains a landmark reference in the field. Chen's contributions center on developing sophisticated sensing, modeling, and control methodologies for robotic welding systems. His research on weld pool control using real-time computer vision advanced the capability of "teach and playback" robots to adaptively manage weld penetration under variable conditions — a critical industrial challenge. He has further contributed innovations in weld seam recognition, laser vision sensor calibration, and model-free adaptive control for nonlinear welding processes. With a body of work spanning two decades, from foundational vision-based seam detection in 2004 to self-supervised learning-based seam tracking in 2024, Chen exemplifies sustained innovation. His research has collectively shaped the intellectual foundation of autonomous robotic welding, making him an essential figure for students and practitioners in intelligent manufacturing and welding automation.
Research Focus
Key Achievements
Top Papers
- 1Research evolution on intelligentized technologies for arc welding process153 citations · 2013
- 2Research on weld pool control of welding robot with computer vision43 citations · 2007
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