Lihao Yuan
Papers
1
Total Citations
11
H-Index
1
About
Lihao Yuan is a researcher specializing in underwater robotics and structural health monitoring, with a particular focus on the automated inspection of hydraulic infrastructure. His most cited work, "A solution for the automatic detection of expansion joints in dam stilling pools using underwater robots" (2024), addresses a critical challenge in dam safety by developing a robotic system capable of identifying structural defects in submerged environments. This paper has garnered 11 citations, reflecting its timely contribution to the intersection of robotics and civil engineering. Yuan’s research integrates computer vision, sensor fusion, and autonomous navigation to enable precise, non-destructive evaluation of underwater structures, reducing the need for costly and hazardous manual inspections. By advancing the use of underwater robots for infrastructure maintenance, his work supports the long-term reliability of dams and water management systems. Yuan’s contributions are particularly valuable for researchers and practitioners in robotics, hydraulics, and infrastructure monitoring, offering a scalable approach to detecting critical structural issues in challenging aquatic environments.
Research Focus
Key Achievements
Top Papers
- 1