Max Robotics — Global Service Robot Directory + US Certification

About

Jong-Jae Lee is a prominent structural engineering researcher whose work has significantly advanced the field of automated bridge inspection and nondestructive evaluation (NDE). His research centers on developing intelligent monitoring systems for critical bridge infrastructure, with a particular focus on cable-stayed and suspension bridges—structures where cable integrity is paramount to safety. Lee's most impactful contribution lies in integrating robotic systems with advanced sensing technologies to enable automated cable inspection. His development of cable-climbing robots equipped with Magnetic Flux Leakage (MFL) sensing technology has provided a practical, scalable solution for detecting structural defects such as cross-sectional loss, fatigue damage, and fractures in steel cables—work that has garnered over 120 citations across multiple studies. His 2013 paper on image-based damage detection alone has attracted 95 citations, reflecting the broad adoption of his computer vision approaches within the structural health monitoring community. Beyond robotics, Lee has explored elasto-magnetic sensing and damage visualization techniques, contributing to a comprehensive toolkit for bridge cable assessment. His work, largely grounded in Korean bridge engineering contexts, has had international resonance, offering engineers reliable, cost-effective alternatives to manual inspection methods that are both dangerous and resource-intensive. Lee's research represents a vital bridge between robotics, sensing technology, and civil infrastructure safety.