Jian Le
Papers
8
Total Citations
107
H-Index
6
About
Jian Le is a leading researcher in robotic welding automation, with a primary focus on intelligent seam tracking for gas metal arc welding (GMAW). His work centers on the development and application of rotating arc sensors to enable precise, real-time tracking of complex fillet weld geometries. Le’s major contributions include pioneering algorithms for rectangular, circular, right-angle, and space-curved fillet weld tracking, which have significantly improved welding quality and efficiency in automated manufacturing. His most cited paper, “Realization of rectangular fillet weld tracking based on rotating arc sensors” (2017), has garnered 36 citations, reflecting its foundational impact. He has also advanced the field by stabilizing arc rotation speed through closed-loop control systems, as demonstrated in his work on autonomous mobile welding robots. Le’s research addresses critical challenges in welding automation, from detecting wire feeding speed to identifying the spatial posture of welding guns. His work is essential reading for students and engineers seeking to understand sensor-based adaptive control in robotic welding, offering practical solutions for enhancing precision and productivity in industrial applications.
Research Focus
Key Achievements
Top Papers
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- 8The System Design of an Autonomous Mobile Welding Robot3 citations · 2021