Matteo Unetti
Papers
10
Total Citations
253
H-Index
8
About
Matteo Unetti is a leading researcher at the intersection of robotics and radio frequency identification (RFID), whose work is central to advancing Industry 4.0 automation. His primary research areas include UHF-RFID tag localization, synthetic aperture radar (SAR) methods, and autonomous mobile robotics for logistics and inspection. Unetti’s major contribution is the development of real-time, high-accuracy 3D positioning systems for passive UHF-RFID tags using particle swarm optimization (PSO) and phase-unwrapping techniques, enabling precise object tracking in warehouses and retail environments. His most-cited paper, “Particle Swarm Optimization in SAR-Based Method Enabling Real-Time 3D Positioning of UHF-RFID Tags” (2020, 70 citations), demonstrates this innovation by integrating moving agents like UAVs and robots for dynamic localization. He also pioneered the “MONITOR” robot, equipped with rotating antennas for smart inventory in high-density shelving, and developed an RFID simulator for Gazebo that combines RSSI and phase signals for robust tracking. With over 250 total citations, Unetti’s work has been recognized for its practical impact on automated logistics, inspection robotics, and coverage path planning, making him a key figure in bridging RFID technology with autonomous systems for efficient, real-world industrial applications.
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