Papers
29
Total Citations
939
H-Index
13
About
Francesco Martinelli is a prominent researcher specializing in mobile robot localization, UHF-RFID-based sensing systems, and multi-agent robotics. His work has fundamentally advanced the field of indoor autonomous navigation, particularly through innovative applications of passive Radio Frequency Identification (RFID) technology. Martinelli's most influential contribution, "Mobile Robot Localization Using the Phase of Passive UHF RFID Signals" (2013, 205 citations), demonstrated that phase measurements from ceiling-mounted RFID tags could enable precise global localization for autonomous vehicles — a significant breakthrough given the low cost and passive nature of such tags. This work was preceded and complemented by related studies on RSSI-based localization and Kalman filtering approaches, collectively accumulating hundreds of citations and establishing him as a leading authority in RFID-assisted robotics. Beyond localization, Martinelli has made meaningful contributions to multi-robot coordination, including distributed task allocation algorithms and production planning frameworks for robotic fleets. His 2018 research extending RFID localization to warehouse shelf scanning further demonstrates the real-world applicability of his methods. With over 770 combined citations across his top works, Martinelli's research bridges theoretical estimation theory and practical autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Localization Using the Phase of Passive UHF RFID Signals205 citations · 2013
- 2A Passive UHF-RFID System for the Localization of an Indoor Autonomous Vehicle132 citations · 2011
- 3A Robot Localization System Combining RSSI and Phase Shift in UHF-RFID Signals101 citations · 2015
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- 5A Distributed Algorithm for the Multi-Robot Task Allocation Problem69 citations · 2010
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