Wenkai Fu
Papers
1
Total Citations
6
H-Index
1
About
Wenkai Fu is a rising researcher in advanced manufacturing, specializing in multi-robot coordination, additive manufacturing, and 3D point cloud processing. His work addresses critical challenges in collaborative wire arc additive manufacturing (WAAM), where precise calibration of multiple robotic systems is essential for producing large-scale, complex metal components. Fu's most-cited paper, "Calibration of multi-robot coordinates for collaborative wire arc additive manufacturing using cross-source 3D point cloud models" (2024), introduces an innovative method that leverages cross-source 3D point cloud data to achieve high-accuracy alignment between robots, significantly improving the efficiency and quality of WAAM processes. This contribution has already garnered 6 citations shortly after publication, reflecting its immediate relevance to the field. Fu's research bridges the gap between computational geometry and industrial robotics, offering practical solutions for real-time calibration without the need for expensive external sensors. His work is particularly impactful for industries such as aerospace and automotive, where large-scale, customized metal parts are in high demand. As a young scholar, Fu is establishing himself as a key contributor to the next generation of smart manufacturing technologies.
Research Focus
Key Achievements
Top Papers
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