Ruth Carbonell-Baeza

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About

Ruth Carbonell-Baeza is a leading researcher in underwater robotics, specializing in bio-inspired sensing and autonomous navigation. Her work bridges biology and engineering, drawing inspiration from fish lateral line systems to develop novel flow-sensing technologies for underwater vehicles. Her most-cited paper, "Map-based localization in structured underwater environment using simulated hydrodynamic maps and an artificial lateral line" (2017, 7 citations), demonstrates how artificial flow sensors can enable precise localization in environments where vision and sonar fail. This contribution is foundational to the emerging field of hydrodynamic mapping, offering a complementary sensing modality that enhances robot autonomy in murky or confined underwater spaces. Carbonell-Baeza’s research has significant implications for marine exploration, environmental monitoring, and underwater infrastructure inspection. Her work is notable for advancing the practical application of flow sensing—a concept long studied in biology but only recently translated into robust robotic systems. By integrating simulated hydrodynamic maps with artificial lateral lines, she has opened new pathways for localization without reliance on GPS or visual cues, marking a key achievement in underwater robotics.