Papers

10

Total Citations

92

H-Index

5

About

Bruno Matias is a leading researcher in field robotics, specializing in precise positioning, autonomous underwater vehicles (AUVs), and hybrid robotic systems for challenging marine and inland water environments. His major contributions center on democratizing high-accuracy navigation through low-cost RTK-GPS systems, as demonstrated in his highly cited 2015 paper (22 citations) which integrated standard L1 receivers with the open-source RTKLIB library for unmanned surface vehicles. He further advanced this work by porting RTKLIB to the Robot Operating System (ROS), enabling centimeter-level real-time kinematic positioning for the broader robotics community (21 citations). Matias played a pivotal role in the European H2020 ¡VAMOS! Project, where he developed the EVA hybrid ROV/AUV for underwater mining support (20 citations) and pioneered multi-domain survey techniques combining autonomous surface and aerial vehicles for 3D reconstruction of flooded mines. His innovative MARA modular AUV (2020) addresses the critical challenge of exploring confined underwater spaces like caves and underground mines. With over 90 total citations across his portfolio, Matias continues to push boundaries in deep-sea operations, most recently developing the TURTLE hybrid robotic lander for military exercises and optical communication systems for data recovery from seabed landers.

Research Focus

Key Achievements

5
H-Index
10
Papers
92
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
High-accuracy low-cost RTK-GPS for an unmannned surface vehicle
22 citations · 2015
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Polytechnic Institute of Porto, INESC TEC, Institute for Systems Engineering and Computers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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