Sanghyeon Kim

Papers

Total Citations

H-Index

About

Sanghyeon Kim is a leading researcher in autonomous structural inspection, with a primary focus on leveraging robotic systems—particularly unmanned aerial vehicles (UAVs)—to transform traditional bridge maintenance. His most cited work, "Toward Autonomous Bridge Inspection: A framework and experimental results" (2019, 53 citations), proposes a pioneering framework that replaces manual, labor-intensive bridge inspections with fully autonomous robotic workflows. This contribution addresses critical safety and efficiency challenges in civil infrastructure, offering a scalable solution for real-time damage detection and assessment. Kim’s research bridges robotics, computer vision, and structural engineering, enabling drones to navigate complex bridge geometries and identify defects without human intervention. His work has been instrumental in advancing the field of infrastructure health monitoring, with implications for reducing inspection costs and improving public safety. Beyond this flagship paper, Kim continues to explore autonomous systems for broader structural applications, earning recognition for integrating experimental validation with practical deployment. His contributions are shaping the next generation of smart infrastructure management, making him a key figure in the intersection of robotics and civil engineering.