Papers

11

Total Citations

182

H-Index

6

About

Davide Fenucci is a marine robotics researcher whose work sits at the intersection of autonomous underwater vehicle (AUV) navigation, multi-robot coordination, and ocean exploration systems. He is perhaps best known for his development of Kalman filter-based navigation algorithms for AUVs — his 2016 paper on unscented Kalman filter navigation has accumulated 96 citations, reflecting its significant influence on addressing the persistent challenge of underwater localization in GPS-denied environments. Fenucci has made substantial contributions to the design and operation of advanced AUV platforms, including work on the Autosub 2000 Under Ice vehicle, a purpose-built system for exploring one of Earth's most scientifically critical and logistically forbidding environments. His research extends to multi-platform guidance and control architectures, obstacle avoidance systems, and passivity-based frameworks for coordinated AUV teams operating under communication constraints. A recurring theme across his portfolio is interoperability — enabling heterogeneous unmanned maritime vehicles to collaborate effectively, demonstrated through real-world NATO operational experimentation. Affiliated with the National Oceanography Centre's Marine Autonomous and Robotic Systems group, Fenucci's work directly supports world-class ocean science in extreme environments, from polar ice to deep benthic habitats.

Research Focus

Key Achievements

6
H-Index
11
Papers
182
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An unscented Kalman filter based navigation algorithm for autonomous underwater vehicles
96 citations · 2016
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: University of Pisa, National Oceanography Centre, Piaggio (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago