Lorenzo Capponi

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About

Lorenzo Capponi is a researcher specializing in structural health monitoring, experimental mechanics, and the integration of robotics for infrastructure inspection. His work bridges numerical modeling and experimental validation, with a particular focus on thermoelasticity and marker-based tracking techniques. In his highly cited 2021 study on the San Giorgio’s bridge inspection robot, Capponi introduced a multi-instrumental, multi-spectral method that combines thermoelastic stress analysis with ArUco marker-based model validation. This approach enables precise correlation between simulated and real-world structural behavior, advancing the reliability of robotic inspections for critical infrastructure. His research has garnered attention for its practical applications in civil engineering and non-destructive testing, with his most-cited paper accumulating six citations to date. Capponi’s contributions are notable for their interdisciplinary nature, merging robotics, materials science, and structural dynamics to create robust validation frameworks. His work continues to influence the development of autonomous inspection systems, offering safer and more accurate methods for assessing the integrity of historical and modern structures alike.