Daniele Fontanelli
Papers
100
Total Citations
1,894
H-Index
22
About
Daniele Fontanelli is a prominent researcher at the intersection of robotics, indoor localization, and autonomous navigation, whose work has garnered over 800 citations across his most influential publications. His research makes foundational contributions to mobile robot positioning, blending sensing technologies such as UHF-RFID, ultra-wideband radio, and QR codes with sophisticated estimation frameworks to achieve robust indoor localization in real-world environments. Fontanelli's SAR-based RFID localization methods — collectively cited nearly 170 times — represent a particularly innovative thread, enabling mobile robots to accurately map and identify passive tags in complex warehouse and public spaces. His early work on visual feedback control and nonholonomic robot path planning, including shortest-path characterizations under field-of-view constraints, established him as a rigorous theorist in robot kinematics. Beyond pure robotics, Fontanelli has made meaningful societal contributions through assistive technology research, notably the DALi project, which addresses navigation support for older adults in complex public environments. His widely cited "Headed Social Force Model" (140 citations) further demonstrates his breadth, extending pedestrian motion modeling to support robot motion planning and human-robot coexistence. Fontanelli's career exemplifies the integration of theoretical rigor with practical, human-centered engineering applications.
Research Focus
Key Achievements
Top Papers
- 1Walking Ahead: The Headed Social Force Model140 citations · 2017
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- 4Shortest Paths for a Robot With Nonholonomic and Field-of-View Constraints81 citations · 2010
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- 8SAR-Based Indoor Localization of UHF-RFID Tags via Mobile Robot60 citations · 2018
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