Papers
1
Total Citations
5
H-Index
1
About
Rongwei Yu is a researcher at the forefront of advanced manufacturing, specializing in wire arc additive manufacturing (WAAM) and intelligent process monitoring. Their work centers on integrating multimodal sensor fusion—combining visual, acoustic, and force data—to enhance the precision and reliability of robotic additive manufacturing systems. Yu’s most-cited paper, "Monitoring of robot trajectory deviation based on multimodal fusion perception in WAAM process" (2023), introduces a novel framework that uses real-time sensor data to detect and correct trajectory errors during deposition, significantly improving part quality and reducing waste. This contribution addresses a critical challenge in large-scale metal 3D printing, where even minor deviations can compromise structural integrity. With 5 citations in its first year, the work has already attracted attention from peers in automation and materials science. Yu’s research bridges robotics, sensor technology, and process control, offering practical solutions for industries like aerospace and automotive. Their innovative approach to adaptive monitoring positions them as a rising voice in smart manufacturing, with potential to shape future standards for real-time quality assurance in additive processes.
Research Focus
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Top Papers
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