Papers
9
Total Citations
75
H-Index
5
About
Fabrizio Abrate is a leading researcher in mobile robotics, specializing in Simultaneous Localization and Mapping (SLAM), multi-robot coordination, and autonomous navigation in dynamic environments. His seminal work, "Experimental EKF-based SLAM for mini-rovers with IR sensors only" (2007, 20 citations), demonstrated that even low-cost, noisy infrared sensors could enable effective SLAM on platforms like the Khepera robot, challenging assumptions about sensor requirements. Abrate further advanced the field by addressing the computational complexity of SLAM in dynamic settings, as seen in "Map updating in dynamic environments" (2010, 14 citations) and its multi-robot extension (2012, 12 citations). His contributions to Monte Carlo Localization (2007, 10 citations) provided robust solutions for rover positioning with minimal hardware. Notably, Abrate's work on cooperative robotic teams for logistics (2010, 4 citations) and hybrid localization (2009, 4 citations) bridges theory and practical applications, such as warehouse management and surveillance. He also explored industrial robot safety through virtual manufacturing cells (2011, 3 citations). With over 70 total citations across his key papers, Abrate's research has significantly influenced cost-effective, scalable robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Experimental EKF-based SLAM for mini-roverswith IR sensors only20 citations · 2007
- 2Map updating in dynamic environments14 citations · 2010
- 3Multi-robot Map Updating in Dynamic Environments12 citations · 2012
- 4Monte Carlo Localization of mini-rovers with low-cost IR sensors10 citations · 2007
- 5Multirobot Localization in Highly Symmetrical Environments5 citations · 2012
- 6
- 7Hybrid localization solutions for robotic logistic applications4 citations · 2009
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