XINGGUANG LI
Papers
1
Total Citations
1
H-Index
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About
Xingguang Li is a leading researcher in autonomous robotic systems and nondestructive evaluation, with a primary focus on infrastructure inspection and structural health monitoring. His most significant contribution to date is the development of an integrated robotic platform for concrete pipeline assessment, detailed in his 2022 paper "Autonomous Robotic Systems for Pipe Inspection Using Mapping and Nondestructive Testing." This work combines 3D LiDAR, 3D camera, radar, and NDT sensors into a unified sensor network, enabling autonomous mapping and defect detection in open-end culverts and storm drain systems. While his citation count is currently modest, the foundational nature of this research positions it as a critical reference for advancing automated infrastructure maintenance. Li's work addresses a pressing need for efficient, non-invasive inspection methods in aging civil infrastructure, bridging robotics, sensor fusion, and material assessment. His approach promises to reduce human risk and improve accuracy in detecting structural flaws, making him a notable emerging voice in the field of robotic inspection and civil engineering automation.
Research Focus
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Top Papers
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