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About

Flavio Corradini is a leading researcher at the intersection of process-driven systems, multi-robot coordination, and digital twin technology. His work fundamentally reimagines how autonomous robotic systems are designed, monitored, and analyzed, bridging the gap between business process management and robotics. Corradini’s major contributions include pioneering the use of Business Process Model and Notation (BPMN) as a high-level framework for orchestrating multi-robot systems, as demonstrated in his most-cited work (26 citations). He has been instrumental in developing the concept of “Executable Digital Process Twins,” which enable real-time monitoring and analysis of system behavior by combining digital twin paradigms with process-driven architectures. Further, he has advanced the application of process mining to robotic systems, creating novel methodologies and datasets (e.g., “Robotic Datasets for Process Mining”) that allow researchers to extract actionable insights from multimodal robotic data. His recent work on zero-shot activity recognition pushes the boundaries of automated analysis. With a growing citation impact, Corradini’s research is shaping the future of intelligent, autonomous systems, offering powerful tools for both academia and industry.