Pedro O. C. S. Ribeiro

Papers

Total Citations

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About

Pedro O. C. S. Ribeiro is a researcher specializing in autonomous underwater robotics, with a particular focus on acoustic perception, place recognition, and object classification in challenging submarine environments. His work addresses one of the most pressing challenges in marine robotics: enabling autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) to navigate and understand their surroundings reliably, without human intervention. Ribeiro's most influential contribution, "Underwater Place Recognition using Forward-Looking Sonar Images: A Topological Approach" (2018), has garnered 40 citations and pioneered the use of topological methods for sonar-based localization — a critical capability in environments where GPS and optical sensors fail due to turbidity and signal attenuation. Complementing this, his work on triplet-based acoustic image retrieval (21 citations) advanced deep learning approaches for sonar image matching in unknown environments. His earlier research on object classification in semi-structured environments (24 citations) laid foundational groundwork for scene understanding using forward-looking sonar systems. Collectively, Ribeiro's contributions have meaningfully advanced the field of underwater perception, offering practical solutions for monitoring, inspection, and autonomous navigation in one of the planet's most demanding operational domains.