Jian Fan
Papers
1
Total Citations
1
H-Index
1
About
Jian Fan is a researcher whose work centers on the intersection of industrial robotics, 3D vision, and automated manufacturing. His primary research areas include robotic trajectory planning, intelligent welding systems, and computer vision for industrial applications. Fan’s most notable contribution is his development of a trajectory planning method for welding pipe parts using industrial robots guided by 3D vision. This work addresses a critical challenge in manufacturing: accurately identifying and welding intersecting lines formed at the junctions of circular tube components. By integrating 3D vision to detect weld seams and then directing robotic arms to perform precise welding, Fan’s approach enhances automation, reduces human error, and improves efficiency in pipe part fabrication. His 2024 paper on this method has already garnered attention, marking an early impact in the field. Fan’s research is particularly valuable for industries such as shipbuilding, pipeline construction, and heavy machinery, where complex welded joints are common. His work exemplifies the growing synergy between advanced sensing technologies and robotic automation, paving the way for smarter, more adaptive manufacturing systems.
Research Focus
Key Achievements
Top Papers
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