Eirik Fagerhaug

Norwegian University of Science and Technology

Papers

Total Citations

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About

Dr. Eirik Fagerhaug is a leading researcher in autonomous maritime systems, with a primary focus on enhancing the reliability and operational efficiency of autonomous surface vessels (ASVs). His most influential work, "Predictive digital twins for autonomous surface vessels" (2023, 30 citations), introduces a groundbreaking approach that integrates predictive digital twins with advanced state estimation techniques. By developing a graphical model that maps variable relationships, Fagerhaug enables real-time prediction and optimization of vessel behavior, significantly improving decision-making in dynamic marine environments. This contribution has quickly garnered attention for its practical implications in safe and efficient autonomous navigation. His research bridges the gap between theoretical modeling and real-world deployment, addressing critical challenges in sensor fusion, system resilience, and predictive maintenance. Fagerhaug’s work is shaping the future of smart shipping, offering scalable solutions for reducing human error and operational costs. As a rising voice in maritime robotics, his innovations are poised to influence both academic research and industry standards for next-generation autonomous vessels.