Fabrizio Romanelli

University of Rome Tor Vergata

Papers

17

Total Citations

148

H-Index

9

About

Fabrizio Romanelli is a leading researcher at the intersection of robotics, sensor fusion, and industrial automation. His primary contributions lie in **simultaneous localization and mapping (SLAM)**, particularly using passive **UHF-RFID tags** for robust indoor robot navigation. Romanelli pioneered methods to reconstruct range and bearing from backscattered signals, enabling resilient SLAM in environments where conventional sensors fail—a key advance for logistics and warehouse robotics. His work on **ROS-I interfaces for COMAU robots** and a **novel distributed architecture for unmanned aircraft systems based on ROS 2** has set new standards for high-reliability, distributed control in industrial and aerial robotics. Romanelli also addresses practical challenges in **energy-efficient motion planning** and **collision avoidance**, with a recent foray into **synthetic sensor data generation using deep learning** to accelerate autonomous system development. With over 120 citations across his top ten publications, his research is widely recognized for bridging theoretical SLAM algorithms with real-world industrial deployment. His 2022 paper on robust SLAM using UHF-RFID tags (20 citations) exemplifies his impact, offering a resilient solution that decouples landmark estimation from robot pose—a foundational contribution to the field.

Research Focus

Key Achievements

9
H-Index
17
Papers
148
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Robust Simultaneous Localization and Mapping Using Range and Bearing Estimation of Radio Ultra High Frequency Identification Tags
20 citations · 2022
📈 Most Prolific Year: 2022 (7 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Rome Tor Vergata

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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