Cheng-Hao Lee

Papers

Total Citations

H-Index

About

Cheng-Hao Lee is a researcher specializing in autonomous robotics and infrastructure inspection, with a particular focus on pavement distress detection. His work bridges the gap between robotic navigation and civil engineering, developing strategies that enable autonomous systems to identify and assess road surface defects such as cracks and potholes. His most-cited paper, "Strategies for autonomous robots to inspect pavement distresses" (2011), has garnered 28 citations, laying foundational groundwork for integrating computer vision and robotic mobility in infrastructure maintenance. This contribution is notable for its practical approach to automating inspection processes that are traditionally labor-intensive and hazardous. Lee's research has implications for smart city development and cost-effective infrastructure management, offering scalable solutions for monitoring urban road networks. His work continues to influence the design of autonomous inspection systems, demonstrating how robotics can enhance safety and efficiency in civil engineering applications.