Valerio Magnago
Papers
13
Total Citations
486
H-Index
10
About
Valerio Magnago is a researcher whose work sits at the intersection of mobile robotics, indoor localization, and radio-frequency sensing technologies. His research has made significant contributions to the field of UHF-RFID-based positioning, where he has pioneered the application of Synthetic Aperture Radar (SAR) methods for accurately localizing passive RFID tags in indoor and warehouse environments using robot-mounted reader antennas. His 2020 paper extending SAR localization across multiple trajectories has garnered 109 citations, underscoring the broad impact of this approach. Magnago has also advanced phase-based ranging-free positioning techniques, addressing the inherent challenges of signal ambiguity and multipath interference that complicate RFID localization. Beyond RFID systems, he has explored ultra-wideband (UWB) radio-assisted robot self-localization with stochastic guarantees and developed optimized landmark deployment strategies for constrained indoor environments. A notable interdisciplinary contribution is his work integrating Building Information Modeling (BIM) with collaborative robotics for construction and maintenance applications, cited 76 times. Collectively, his publications reflect a coherent research agenda advancing robust, practical solutions for autonomous robot navigation and sensing in complex real-world environments.
Research Focus
Key Achievements
Top Papers
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- 4SAR-Based Indoor Localization of UHF-RFID Tags via Mobile Robot60 citations · 2018
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- 8Robot Localisation based on Phase Measures of backscattered UHF-RFID Signals13 citations · 2019
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- 10Performance Assessment of a People Tracker for Social Robots10 citations · 2019