Papers
2
Total Citations
15
H-Index
2
About
Xiangyang Xu is a researcher whose work sits at the intersection of robotics, artificial intelligence, and structural health monitoring. His primary research areas include intelligent infrastructure inspection, robotic control systems, and the application of AI for model reconstruction. A key contribution is his work on robust model reconstruction for intelligent health monitoring of tunnel structures (2020), which has garnered 13 citations. This research is pivotal in advancing the use of robotic systems for critical infrastructure assessment, leveraging AI to improve the accuracy and reliability of damage detection in challenging environments. Xu’s work is part of a broader trend where advanced robotics, accelerated by AI, are becoming indispensable for tasks that are dangerous or difficult for humans. Earlier in his career, he contributed to engineering education by developing a telecontrol laboratory for training postgraduate students online (2006), a forward-looking project that utilized Internet technology to control a nonlinear robot arm remotely. This work demonstrates his long-standing interest in practical, accessible robotic systems and their application to both real-world problems and educational advancement.
Research Focus
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Top Papers
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