Papers
1
Total Citations
39
H-Index
1
About
Seungbo Shim is a leading researcher in the field of robotic inspection and structural health monitoring, with a focus on automating damage assessment in critical infrastructure. His work centers on developing integrated robotic systems that combine ground vehicles, manipulators, and advanced 3D measurement technologies to detect and quantify concrete damage in challenging environments, such as tunnels. Shim’s major contribution is the creation of a remote robotic system that replaces subjective manual inspections with precise, objective 3D data acquisition, significantly reducing human error and safety risks. His most-cited paper (2023, 39 citations) demonstrates this innovation, showcasing a method for accurate, repeatable damage measurement that enhances structural safety. By bridging robotics, computer vision, and civil engineering, Shim’s research has practical implications for infrastructure maintenance, offering a scalable solution for periodic inspections. His work is notable for its direct impact on improving diagnostic reliability, making him a key figure in the evolution of automated infrastructure monitoring.
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Top Papers
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