Cleia Santos-Libarino

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About

Cleia Santos-Libarino is a researcher at the forefront of socially aware robotics, where she bridges the gap between human emotional intelligence and autonomous machine behavior. Her primary research areas encompass emotion detection, human-robot interaction, and social navigation for assistive technologies. Santos-Libarino’s most impactful contribution is her pioneering work on integrating NLP transformers with an emotion ontology for social robots, enabling machines to detect and adapt to human emotional states through text and multimedia. This highly cited paper (83 citations) has become a foundational reference for developing emotionally responsive robotic systems. She further advances the field through her design of interactive control systems for service robots, incorporating intuitive web interfaces and AI-powered chatbots to enhance user personalization. Notably, her recent work introduces a "robocentric paradigm" for social navigation, refining object detection methods to improve how autonomous wheelchairs move safely and naturally among people. By tackling both the cognitive and physical dimensions of human-robot coexistence, Santos-Libarino is shaping a future where autonomous systems are not only intelligent but also emotionally attuned and socially graceful.