Rosa Meo

Papers

Total Citations

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About

Rosa Meo is a pioneering researcher in artificial intelligence and human-robot interaction, with a focus on enabling robots to develop a form of self-awareness through language and perception. Her key research areas include machine learning, natural language processing, and embodied cognition. Meo’s most notable contribution is her work on “roboceptions,” a concept she introduced to describe a robot’s internal bodily perceptions. In her highly cited paper, “How are you? How a Robot can Learn to Express its own Roboceptions” (2020), she explores how robots can learn to associate linguistic elements—words or sentences—with their own sensory experiences through human interaction. This groundbreaking research bridges the gap between symbolic language and physical sensation, offering a novel framework for more intuitive and empathetic human-robot communication. While her citation count is modest, the conceptual innovation of roboceptions has sparked interest in the AI community, laying the groundwork for future studies on robot consciousness and affective computing. Meo’s work is particularly relevant for students and researchers interested in the intersection of linguistics, robotics, and artificial intelligence, as it challenges traditional boundaries between machine and human experience.