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About

Georgios Darivianakis is a robotics and control systems researcher whose work has made significant contributions to the field of aerial robotics, particularly in enabling autonomous unmanned aerial vehicles (UAVs) to perform complex physical interaction tasks. His research focuses on the intersection of motion planning, model predictive control, and contact-based inspection operations, addressing one of the most challenging frontiers in robotics: enabling quadrotors to safely and stably interact with physical infrastructure. His most influential work centers on aerial robotic contact-based inspection, where he developed sophisticated planning and control frameworks that allow UAVs to make deliberate physical contact with structures — a capability critical for infrastructure monitoring and maintenance applications. His 2015 paper on this topic has garnered 108 citations, reflecting its foundational impact on the field. Complementing this, his hybrid model predictive control framework, developed in 2014 and cited over 125 times across related publications, demonstrated how standard quadrotor platforms could achieve stable physical interaction through principled mathematical control approaches. Darivianakis's research has helped lay the groundwork for practical aerial inspection systems, influencing both academic robotics research and real-world applications in infrastructure assessment and industrial automation.