Papers
1
Total Citations
5
H-Index
1
About
Yong Huang is a researcher specializing in advanced manufacturing processes, with a particular focus on Wire Arc Additive Manufacturing (WAAM) and intelligent monitoring systems. His work sits at the intersection of robotics, process control, and sensor fusion technologies, addressing critical challenges in ensuring the precision and reliability of additive manufacturing operations. Huang's most notable contribution to date is his 2023 study on monitoring robot trajectory deviation using multimodal fusion perception in the WAAM process, which has already garnered 5 citations since its publication — a promising indicator of growing interest in this specialized field. This work tackles a fundamental challenge in robotic manufacturing: detecting and correcting trajectory deviations in real time to ensure consistent build quality. By integrating multiple sensing modalities into a unified perception framework, Huang's approach offers a more robust and comprehensive solution than traditional single-sensor methods. His research reflects a broader trend toward intelligent, data-driven manufacturing systems and positions him as an emerging voice in smart manufacturing and additive manufacturing quality assurance. Students and engineers working in robotic fabrication, process monitoring, or Industry 4.0 applications will find his contributions highly relevant to current industrial challenges.
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