Lidia Carotenuto

Papers

Total Citations

H-Index

About

Lidia Carotenuto’s research career has centered on advancing the field of tactile sensing through the application of fuzzy logic and intelligent classification systems. Her most cited work, "A Fuzzy Classifier for Tactile Sensing" (1997), introduced a novel approach to interpreting tactile data using fuzzy set theory, enabling more nuanced and robust object recognition in robotic and prosthetic applications. This contribution laid early groundwork for integrating soft computing techniques into sensor-based perception, a domain that has since grown in importance for human-machine interaction and autonomous systems. Though her publication record is concise, the 1997 paper has accumulated 3 citations, reflecting its role as a foundational reference for researchers exploring fuzzy classifiers in tactile contexts. Carotenuto’s work demonstrates a focused effort to bridge computational intelligence with physical sensing, offering a pathway for more adaptive and human-like tactile feedback in robotics. Her contributions remain relevant for students and engineers seeking to understand the early integration of fuzzy logic into sensory systems, highlighting the enduring value of targeted, pioneering research in specialized areas of engineering and computer science.