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About

Bo Miquel Nordfeldt-Fiol is a marine robotics researcher whose work lies at the intersection of autonomous systems, computer vision, and marine ecology. His primary research focuses on developing novel robotic and AI-driven methods for underwater environmental monitoring, with a particular emphasis on assessing and preserving seagrass meadows, specifically *Posidonia oceanica*. His most notable contribution is a proof-of-concept study (8 citations) that integrates autonomous marine robots with deep learning to overcome critical bottlenecks in marine habitat observation, including precise geo-localization, data classification, and mission depth limitations. Nordfeldt-Fiol has also advanced AUV navigation in challenging underwater environments through evolving real-time stereo odometry techniques (5 citations), and has pioneered robust underwater image transmission via acoustic communications (3 citations). His 2024 work on measuring the temporal evolution of seagrass coverage using autonomous robots and deep learning further demonstrates his commitment to long-term ecological monitoring. By bridging robotics, AI, and marine biology, Nordfeldt-Fiol is enabling more efficient, scalable, and accurate assessments of vulnerable benthic habitats, directly supporting conservation efforts in the face of climate change and human impact.