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About

Konstantinos Makantasis is a leading researcher in autonomous robotic systems and intelligent infrastructure inspection, with a focus on computer vision and deep learning for civil engineering applications. His most impactful work centers on developing autonomous robotic platforms capable of navigating complex environments, such as tunnels, to perform structural health assessments. His seminal 2017 paper, "Autonomous robotic system for tunnel structural inspection and assessment," which has garnered 99 citations, introduces a novel system that integrates autonomous navigation, stereo imaging, and real-time defect detection—particularly crack identification—to replace manual, hazardous inspection processes. This work, alongside his earlier 2016 study on autonomous robotic inspection in tunnels (32 citations), demonstrates his pioneering contributions to merging robotics with machine learning for infrastructure monitoring. Makantasis’s research significantly advances the safety and efficiency of civil infrastructure maintenance, enabling automated, data-driven assessments that reduce human risk. His achievements highlight a transformative approach to structural engineering, where intelligent systems enhance resilience and longevity of critical assets.