Lidia Nicolosi
Papers
1
Total Citations
10
H-Index
1
About
Lidia Nicolosi is a robotics researcher whose work bridges biological inspiration and autonomous navigation. Her primary research areas include visual homing, bio-inspired robotics, and CNN-based vision systems for mobile robots. Her most significant contribution is the development and experimental validation of a novel visual homing algorithm implemented on the Eye-Ris vision system, a CNN-based platform. Drawing inspiration from insect navigation—particularly the ability of ants and bees to return to a nest using visual cues—Nicolosi demonstrated how simple, low-power visual processing can enable robust robot homing. Her 2007 paper, "Visual homing: Experimental results on an autonomous robot," has garnered 10 citations and remains a foundational reference in the field of insect-inspired robotics. This work showcases her talent for translating biological principles into practical, real-world robotic systems. Nicolosi’s research is notable for its hands-on experimental approach, proving that complex navigation tasks can be achieved with minimal computational resources. Her contributions continue to influence the development of efficient, autonomous robots capable of operating in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Visual homing: Experimental results on an autonomous robot10 citations · 2007