Max Robotics — Global Service Robot Directory + US Certification

About

Keunyoung Jang is a leading researcher at the intersection of civil infrastructure management, robotics, and deep learning. His work focuses on developing automated, intelligent systems for structural health monitoring, particularly for bridges and large-scale infrastructure. Jang’s major contributions include pioneering the use of ring-type climbing robots and drones equipped with advanced computer vision for autonomous crack detection and evaluation. His highly cited 2020 paper on a ring-type climbing robot for high-rise bridge pier crack evaluation has garnered 137 citations, demonstrating its significant impact on the field. He further advanced this area by proposing the deep super-resolution crack network (SrcNet), which dramatically improves crack detectability in real-world, in situ bridge images, even those affected by motion blur. This work, with 93 citations, has set a new standard for vision-based inspection. Additionally, Jang has contributed to the lifecycle management of infrastructure through a BIM platform, integrating digital twins for more efficient management from design through maintenance. His innovative combination of robotics and deep learning, validated through field tests on bridges in South Korea, positions him as a key figure in transforming how we monitor and maintain critical civil assets.