Papers

16

Total Citations

323

H-Index

9

About

Francesco Fanelli is a robotics researcher whose work spans autonomous vehicle navigation, state estimation, and wearable robotic systems. His most influential contributions lie in the domain of attitude estimation for mobile and underwater robots, where he has developed sophisticated algorithms to tackle real-world challenges such as magnetic disturbances and unknown environmental forces. His 2016 paper on attitude estimation under unknown magnetic disturbances has garnered 110 citations, establishing him as a leading voice in robust navigation for autonomous systems. Complementing this, his work on Unscented Kalman Filter-based sea current estimation during Autonomous Underwater Vehicle (AUV) navigation — cited 47 times — demonstrates his ability to address complex, dynamic marine environments. Fanelli has also contributed to under-ice exploration robotics through the Autosub 2000 project and developed scalable path planning solutions using Bézier curves. Beyond underwater systems, he has made meaningful strides in assistive robotics, designing wearable hand exoskeletons with optimization-based scaling procedures to support patients with neuromuscular impairments. His research reflects a rare breadth — bridging advanced estimation theory, autonomous marine vehicles, and human-assistive technologies — making him a versatile and impactful figure in modern robotics research.

Research Focus

Key Achievements

9
H-Index
16
Papers
323
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
An Attitude Estimation Algorithm for Mobile Robots Under Unknown Magnetic Disturbances
110 citations · 2016
📈 Most Prolific Year: 2016 (5 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: University of Florence, University of Genoa, National Oceanography Centre

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago