Mauro Caporuscio

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About

Mauro Caporuscio is a leading researcher in software engineering for self-adaptive and autonomous systems, with a particular focus on the intersection of robotics, digital twins, and adaptive control. His work addresses the critical challenge of enabling robots to operate intelligently in unstructured and uncertain environments, where maintaining quality properties like efficiency, accuracy, and safety is paramount. A key contribution is his pioneering research on integrating adaptive controllers with digital twins for self-adaptive robotic manipulators, as highlighted in his highly cited 2023 paper (11 citations). This work demonstrates how continuous situation awareness and runtime adaptation can allow robots to dynamically respond to changing conditions without human intervention. Beyond robotics, Caporuscio has made significant advances in decentralized software architectures and service-oriented computing, contributing foundational concepts for building resilient, context-aware systems. His research has garnered substantial attention from the software engineering and robotics communities, with his publications collectively receiving hundreds of citations. Through his innovative work, Caporuscio is shaping the future of autonomous systems that can safely and efficiently operate in the real world.