Bruno Morabito

University of Pisa, Otto-von-Guericke University Magdeburg

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About

Bruno Morabito is a leading figure in the intersection of computer-assisted surgery (CAS) and advanced control systems for robotics. His research focuses on developing intelligent platforms for minimally invasive procedures and robust control algorithms for autonomous systems operating under uncertainty. Morabito’s seminal work on the EndoCAS navigator platform (2008, 26 citations) established a common, versatile framework for computer and robotic assistance in surgery, moving beyond rigid anatomical structures to address the complexities of soft-tissue interventions. This contribution laid critical groundwork for more adaptable and widely applicable surgical technologies. In the domain of control theory, his highly cited paper on multi-mode learning supported model predictive control (2018, 17 citations) provides formal guarantees for systems like robotic grippers and quadcopters that must adapt to unknown or changing conditions—such as varying object stiffness or weight. By bridging theoretical rigor with practical deployment, Morabito’s work has significantly advanced both surgical robotics and autonomous decision-making, earning him recognition as a key innovator in these fields.