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About

Alberto Marini’s research lies at the intersection of industrial robotics, control systems, and manufacturing automation, with a focus on enhancing robot interaction and precision. His most impactful contribution is the development of a virtual force sensor for conventional industrial robots, enabling them to perform interaction tasks—such as assembly or polishing—without physical force sensors. This work, published in 2018 and cited 38 times, addresses a critical gap in making standard robots more versatile and cost-effective. Marini further refined this concept by incorporating temperature-based friction models, improving force estimation accuracy in real-world conditions (10 citations). In parallel, he has advanced robotic machining through vibration analysis of milling tasks (22 citations), tackling the limitations of traditional CNC systems by exploring industrial robots as flexible, low-cost alternatives. His educational contributions include using the Robot Operating System (ROS) as a teaching tool for PID control, making complex control concepts accessible to students (10 citations). With a career spanning both theoretical modeling and practical implementation, Marini’s work has directly influenced safer, more efficient human-robot collaboration and expanded the capabilities of industrial manipulators in manufacturing.