Gabriele Bandini

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About

Gabriele Bandini is a researcher at the forefront of RFID-based localization and autonomous systems, with a particular focus on integrating unmanned aerial vehicles (UAVs) into the Internet of Things (IoT) paradigm. His work centers on addressing the critical challenge of position uncertainty in synthetic aperture radar (SAR) techniques for UHF-RFID localization, where even minor trajectory errors can significantly impact accuracy. Bandini’s most-cited paper, "On the Effect of Position Uncertainty of the UHF-RFID Reader Trajectory in SAR-based Localization via UAV" (2022), has garnered 5 citations and provides foundational insights into how autonomous drones can enable precise item and people tracking in dynamic environments. By analyzing the interplay between reader trajectory errors and localization performance, he has advanced the practical deployment of UAVs for real-world IoT applications, such as inventory management and search-and-rescue operations. His contributions are particularly notable for bridging the gap between theoretical SAR models and robust, real-time implementations, making him a key voice in the evolution of autonomous, location-aware systems. Bandini’s work continues to inspire new approaches to resilient, drone-enabled localization in the IoT landscape.