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About

Sara Pettinari is an emerging researcher at the intersection of robotics, business process management, and artificial intelligence, with a particular focus on process mining, digital twins, and multi-robot systems. Her work addresses a compelling challenge: how to model, monitor, and analyze the behavior of increasingly autonomous robotic and IoT-driven systems using process-oriented methodologies. Pettinari's most cited contribution, "A BPMN-driven framework for Multi-Robot System development" (2022, 26 citations), demonstrates her ability to bridge software engineering and robotics by applying Business Process Model and Notation to coordinate complex multi-robot environments. This work laid the foundation for a broader research agenda centered on digital process twins — a concept she has significantly advanced through subsequent publications exploring how executable digital models can mirror and analyze real-world system behavior in real time. More recently, her research has evolved toward enabling process mining on multimodal robotic data, including pioneering zero-shot activity recognition techniques that require no task-specific training data. The release of dedicated robotic datasets further reflects her commitment to supporting reproducible, community-driven research. With a growing citation record and increasingly interdisciplinary scope, Pettinari represents a distinctive voice in intelligent process automation research.