Alberto Tonda

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Université Paris-Saclay

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About

Alberto Tonda is a researcher whose work bridges artificial intelligence, robotics, and industrial automation. His primary research areas include evolutionary computation, machine learning, and sensor-based monitoring for robotic systems. Tonda's major contributions focus on developing virtual sensing techniques to detect and measure mechanical issues in industrial robots, particularly gear backlash—a common problem that causes vibrations and reduces positioning accuracy. His most cited work, "A virtual sensor for backlash in robotic manipulators" (2022, 12 citations), introduces an innovative approach to estimate backlash without direct physical measurement, enabling targeted maintenance and preventing unexpected equipment breakdowns. This work builds on his earlier study, "Virtual Measurement of the Backlash Gap in Industrial Manipulators" (2020, 2 citations), which laid the groundwork for non-invasive diagnostic methods. Tonda's research is highly impactful for industries reliant on precision robotics, as it extends equipment lifespan and reduces downtime. His achievements highlight a practical application of AI and sensor fusion to solve real-world engineering challenges, making his work essential reading for students and researchers interested in intelligent manufacturing and predictive maintenance.