Miguel Martin Abadal
Papers
2
Total Citations
11
H-Index
2
About
Miguel Martin Abadal is a leading researcher at the intersection of marine robotics, artificial intelligence, and underwater communications, with a primary focus on advancing autonomous systems for benthic habitat monitoring. His work centers on developing robust, end-to-end methodologies that overcome critical bottlenecks in marine observation—including precise geo-localization, automated scene recognition, and extended mission depths. In his highly cited 2023 study, Abadal demonstrated a proof-of-concept integrating autonomous marine robots with deep learning to assess benthic habitats colonized by *Posidonia oceanica*, achieving 8 citations for its novel approach to data gathering and classification. He further advanced the field with a 2023 paper on underwater robust image transmission using acoustic communications, introducing a system to broadcast pre-compressed images of reference hot-spots between marine robots. This work addresses the challenge of acoustic multi-scattering while preserving sufficient resolution for environmental monitoring. Abadal’s contributions are pivotal for scaling autonomous marine surveys, enabling real-time, high-fidelity data collection in complex underwater environments. His research not only enhances our understanding of critical seagrass ecosystems but also sets a foundation for future autonomous ocean exploration.
Research Focus
Key Achievements
Top Papers
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