Chaoqun Wu
Papers
7
Total Citations
119
H-Index
7
About
Chaoqun Wu is a leading researcher in intelligent manufacturing and robotic automation, with a focus on welding and machining systems. His work centers on laser vision sensing, arc voltage control, and the digitization of industrial processes. Wu’s major contributions include developing a teaching-free welding position guidance method for fillet welds, which eliminates complex manual calibration and enhances efficiency—a paper that has garnered 27 citations. He also advanced tube-to-tubesheet welding by integrating automation with digitization, addressing challenges in circular seam arc length control through arc voltage sensing, a critical innovation for improving weld quality in dense seam configurations. His research extends to robotic machining, where he proposed a region-based framework for intelligent manufacturing, and to abrasive belt grinding of zirconia ceramics, using chip-thickness models to suppress crack initiation and propagation. With over 100 total citations across his most-cited works, Wu’s impact is evident in his practical solutions for calibration, path planning, and foot contact detection in wheel-legged robots. His work bridges theory and application, making him a key figure in advancing robotic precision and autonomy in manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5The development of tube-to-tubesheet welding from automation to digitization15 citations · 2021
- 6
- 7