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About

Donatella Guarino is a pioneering researcher at the intersection of ambient intelligence (AmI) and autonomous robotics, a field she has helped define as ubiquitous robotics. Her work addresses the profound challenge of integrating robotic devices into intelligent environments, focusing on how these systems can perceive, interpret, and interact with their surroundings. Guarino’s key contributions include developing a fuzzy logic approach for monitoring the state of ubiquitous robotic systems, a framework that allows for robust decision-making in dynamic, uncertain environments. She has also advanced human-robot interaction by proposing a common interface point using expression-based semantics, a concept illustrated within the PEIS-Ecology framework. Her research extends to artificial high-level vision, where she has designed systems using ARSOM neural networks to generate symbolic interpretations of dynamic scenes from video data, enabling robotic arms to understand and execute operations. While her citation counts (4–2 per paper) reflect a niche but foundational impact, her work has been instrumental in laying the conceptual groundwork for seamless human-robot collaboration in smart spaces. Guarino’s vision of merging AmI with robotics continues to influence how researchers approach the design of perceptive, adaptive, and interactive robotic ecosystems.