Papers
2
Total Citations
5
H-Index
2
About
Donato Di is a researcher whose work sits at the intersection of robotics, sensor systems, and intelligent automation, with a particular focus on RFID (Radio Frequency Identification) technology. His key contributions center on developing novel methods for integrating RFID systems with autonomous mobile robots to enhance object localization and surveillance capabilities. In his most cited work, "RFID Technology for Mobile Robot Surveillance" (2010, 3 citations), Di introduced two pioneering fuzzy-logic-based approaches for estimating the location of passive RFID tags using a mobile robot equipped with an RF reader and a laser rangefinder. This work established a foundation for more adaptive and uncertainty-tolerant robotic perception. Expanding on this, his 2011 paper "RFID Sensor Modeling by Using an Autonomous Mobile Robot" (2 citations) advanced the field by creating sophisticated models of RFID sensor behavior, enabling more reliable and precise tag detection in real-world environments. Though his citation counts are modest, Di’s contributions are notable for their early integration of fuzzy logic into RFID-based robotic systems—a forward-thinking approach that anticipated later developments in soft computing for robotics. His work remains relevant for researchers exploring sensor fusion and autonomous navigation in cluttered or uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1RFID Technology for Mobile Robot Surveillance3 citations · 2010
- 2RFID Sensor Modeling by Using an Autonomous Mobile Robot2 citations · 2011