Papers
1
Total Citations
16
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1
About
Zhuwen Yan is a researcher specializing in advanced manufacturing and robotic welding technologies, with a particular focus on off-line programming methods for complex spatial welding tasks. Their most cited work, "Research on off-line programming method of spatial intersection curve welding based on VTK" (2019), has garnered 16 citations, marking a foundational contribution to the field. Yan’s research addresses the critical challenge of automating the welding of spatial intersection curves—a common yet intricate geometry in industries like aerospace and automotive manufacturing. By leveraging the Visualization Toolkit (VTK), Yan developed a method that enhances precision and efficiency in robotic welding path planning, reducing reliance on manual programming and minimizing errors. This work has practical implications for improving productivity and quality in automated welding systems. Yan’s contributions are notable for bridging computational geometry and industrial robotics, offering a scalable solution that has been cited in subsequent studies on robotic path optimization and simulation. Their research continues to influence the development of intelligent manufacturing systems, making Yan a key figure in the advancement of off-line programming techniques for complex welding applications.
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