Haonan Peng
Papers
1
Total Citations
9
H-Index
1
About
Haonan Peng is a researcher at the forefront of intelligent infrastructure inspection, specializing in the intersection of robotics, computer vision, and structural health monitoring. His work addresses the critical challenge of automating the detection and measurement of defects in civil engineering structures, particularly bridges. Peng’s most notable contribution is the development of a ring-climbing vision scanning operation robot, a novel platform that autonomously navigates bridge piers to capture high-resolution imagery for crack analysis. This system, detailed in his highly cited 2024 paper, integrates advanced image processing and machine learning to achieve precise, automated crack measurement—a task traditionally reliant on manual, time-consuming, and often hazardous inspections. With 9 citations already, this work is gaining rapid recognition for its potential to enhance safety and efficiency in infrastructure maintenance. Peng’s research is pivotal in moving toward fully autonomous structural assessment, promising to reduce human risk and improve the longevity of critical assets. His innovative approach positions him as a rising contributor to the fields of robotics and civil engineering.
Research Focus
Key Achievements
Top Papers
- 1