Papers
1
Total Citations
5
H-Index
1
About
Xiaxin Tan is a researcher in advanced manufacturing, specializing in the intersection of robotic automation and additive manufacturing processes. Their key research areas include wire arc additive manufacturing (WAAM), multimodal sensor fusion, and real-time process monitoring. Tan’s major contribution lies in developing innovative methods for detecting and correcting robot trajectory deviations during WAAM, a critical challenge for ensuring part quality and dimensional accuracy. Their most-cited work, "Monitoring of robot trajectory deviation based on multimodal fusion perception in WAAM process" (2023), integrates visual and force sensing data to achieve precise, adaptive control of robotic deposition paths. This approach enhances the reliability of large-scale metal 3D printing, directly impacting industries such as aerospace and automotive manufacturing. With 5 citations to date, this paper demonstrates early influence in a rapidly evolving field. Tan’s research bridges robotics, sensor technology, and materials science, offering practical solutions for intelligent manufacturing. Their work is notable for addressing real-world industrial scalability, positioning them as a promising contributor to the future of automated production systems.
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