George Kopsiaftis

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About

George Kopsiaftis is a leading researcher in the field of autonomous infrastructure inspection, specializing in the application of robotics and artificial intelligence to civil engineering challenges. His work centers on developing automated systems for detecting and monitoring structural defects, with a particular focus on tunnels and road networks. Kopsiaftis’s most influential contribution is his pioneering paper on autonomous robotic inspection in tunnels, which has garnered 32 citations. This work introduced a fully autonomous platform capable of navigating complex underground environments, capturing stereo images, and processing them in real time to identify defects such as cracks—a significant advancement over manual inspection methods. More recently, his research on real-time road defect monitoring from UAV visual data sources (11 citations) has demonstrated the transformative potential of combining unmanned aerial vehicles with AI for efficient, cost-effective road maintenance. By replacing traditional, time-intensive inspection techniques with automated, data-driven approaches, Kopsiaftis has made substantial contributions to improving infrastructure safety and longevity. His work continues to inspire new developments in robotic inspection and smart infrastructure management.