Alice Buffi
Papers
25
Total Citations
628
H-Index
12
About
Alice Buffi is a prominent researcher specializing in UHF-RFID-based indoor localization, robotics, and signal processing, with particular expertise in applying Synthetic Aperture Radar (SAR) techniques to radio frequency identification systems. Her work addresses one of the most challenging problems in modern automation: accurately positioning both RFID tags and autonomous vehicles in complex indoor environments such as warehouses and smart factories. Buffi's most influential contributions center on leveraging the phase of backscattered UHF-RFID signals — a more reliable alternative to signal strength measurements — to achieve precise, real-time 3D localization. Her 2020 paper on SAR-based positioning using multiple robot trajectories has garnered 109 citations, establishing her as a leading voice in the field. She has also pioneered the integration of Particle Swarm Optimization into SAR methods to enable computationally efficient real-time positioning, and developed sensor-fusion frameworks that combine RFID phase data with onboard kinematic sensors for robust indoor vehicle tracking. With a cumulative citation count exceeding 520 across her top works, Buffi's research has had significant impact on Industry 4.0 applications, including autonomous inventory management and smart logistics. Her multi-antenna systems and Kalman smoother approaches further demonstrate her commitment to practical, scalable solutions for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 6SAR-Based Indoor Localization of UHF-RFID Tags via Mobile Robot60 citations · 2018
- 7A UHF-RFID Multi-Antenna Sensor Fusion Enables Item and Robot Localization38 citations · 2022
- 8Robot Localisation Using UHF-RFID Tags: A Kalman Smoother Approach †24 citations · 2021
- 9Robot Localisation based on Phase Measures of backscattered UHF-RFID Signals13 citations · 2019
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