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the social, cognitive, and communicative skills needed to autonomously engage in meaningful, long-term human-robot interactions. Project overview: Social robots are designed to be competent partners that help
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that allow embodied agents to understand human behaviour, anticipate how interactions may evolve, and use these predictions to make better decisions in dynamic environments. The project may explore
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For decades, the primary way people who are blind or have low vision (BLV) interact with computers has been through screen readers. These linearise an application or document interface, presenting
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Vision-Language-Action (VLA) models are changing the way robots perceive their surroundings, interpret instructions, reason about tasks, and interact with the physical world. By bringing vision
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🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning
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Creating efficient and beneficial user agent interaction is a challenging problem. Challenges include improving performance and trust and reducing over and under reliance. We investigate
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able