Papers
7
Total Citations
59
H-Index
4
About
Matteo Bresciani is a robotics researcher specializing in autonomous marine systems, underwater navigation, and cooperative multi-robot frameworks. His work sits at the intersection of computer vision, acoustic localization, and autonomous vehicle technology, with a particular focus on enabling reliable autonomy in challenging underwater environments where conventional navigation aids like GPS are unavailable. Bresciani's most influential contribution — a stereo vision-based navigation solution for Autonomous Underwater Vehicles (AUVs), garnering 20 citations — demonstrates his expertise in leveraging visual sensing to overcome the inherent limitations of subsea navigation. Complementing this, his research on cooperative ASV/AUV systems using active acoustic localization (17 citations) has advanced the field of heterogeneous marine robot collaboration, enabling surface and underwater vehicles to work in concert. His more recent work on automatic detection and geolocation of natural gas seeps using AUVs (11 citations) highlights a compelling environmental application of his research, contributing to ocean preservation efforts. Through involvement in international initiatives such as the EUMarineRobots H2020 project and NATO exercise REPMUS-21, Bresciani has demonstrated a commitment to translating laboratory research into real-world deployments, establishing himself as a rising voice in marine robotics and autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 2Cooperative ASV/AUV system exploiting active acoustic localization17 citations · 2021
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