Eva Riccomagno
Papers
4
Total Citations
32
H-Index
4
About
Eva Riccomagno is a leading researcher at the intersection of marine robotics, performance assessment, and applied algebra. Her work centers on developing rigorous, replicable frameworks for evaluating the guidance, navigation, and control systems of Unmanned Marine Vehicles (UMVs)—a critical step as autonomous systems become integral to ocean exploration and defense. Her most cited paper, “Performance Indices for Evaluation and Comparison of Unmanned Marine Vehicles' Guidance Systems” (2014, 15 citations), introduces quantitative metrics that allow researchers to objectively measure and compare path-following performance, moving the field beyond ad-hoc testing. She further advanced this methodology in “Testing the Waters: Design of Replicable Experiments for Performance Assessment of Marine Robotic Platforms” (2015, 5 citations), emphasizing experimental rigor and reproducibility. A distinctive aspect of her approach is the application of algorithms from numerical commutative algebra to assess UMV performance, bridging abstract mathematics with practical robotics. Through her work, Riccomagno has helped establish a standardized language for benchmarking autonomous marine systems, enabling more reliable comparisons and accelerating the deployment of robust UMVs in real-world missions.
Research Focus
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