Federica Verdini

Papers

Total Citations

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About

Federica Verdini’s research sits at the intersection of industrial automation, assistive robotics, and biomedical signal processing, driving innovations that make both factories and daily life safer and more accessible. Her most cited work, a 2019 study on predictive maintenance for industrial robots, uses motor current signal analysis to enable early fault detection—a cornerstone of Industry 4.0 that promises to slash downtime and boost efficiency in the factories of the future. This paper has garnered 28 citations, reflecting its practical relevance. Verdini also tackles mobility challenges with her 2017 paper on a QR-code localization system for smart wheelchairs, which equips electric wheelchairs with semi-autonomous navigation to enhance independence for people with disabilities (24 citations). In the biomedical domain, she explores hand gesture recognition from EMG signals, comparing fuzzy and permutation entropy measures to improve prosthetic control and human-machine interfaces (24 citations, 2020). Her work is notable for bridging theoretical complexity measures with real-world applications, from industrial robots to assistive devices. With a growing citation footprint, Verdini is a rising voice in applied robotics and rehabilitation engineering.