Paolo Salina

Papers

Total Citations

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About

Paolo Salina is a researcher specializing in precision metrology and measurement systems for industrial automation and Industry 4.0 applications. His work centers on the design, optimization, and characterization of multi-degree-of-freedom measurement devices, with a particular focus on non-linear 3D misalignment measurement systems. Salina’s major contribution lies in developing rigorous frameworks that integrate the ISO Guide to the Expression of Uncertainty in Measurement (GUM) with Monte Carlo simulations and design of experiments, enabling highly accurate metrological characterization of complex systems. His 2022 paper on optimized design of a non-linear 3D misalignment measurement system (4 citations) and his 2021 work on metrological characterization through robotic manipulation (3 citations) exemplify his methodical approach to enhancing measurement reliability in smart manufacturing contexts. Though his citation counts are modest, Salina’s research is foundational for advancing quality control and real-time monitoring in Industry 4.0 environments. His notable achievement includes proposing a combined theoretical-experimental methodology that leverages robotic manipulation for systematic uncertainty evaluation, a technique that promises to improve the precision of automated inspection systems. Salina’s work is particularly valuable for engineers and researchers developing high-accuracy measurement solutions for next-generation industrial applications.