Abstract
The dissertation tackles the broad question of knowledge representation and manipulation for companion robots. It first builds a taxonomy of the knowledge manipulation skills required by service robots, then proposes a novel active knowledge base that integrates into large cognitive architectures, and finally explores several applications, including natural language grounding.
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Lemaignan, S. Grounding the Interaction: Knowledge Management for Interactive Robots. Künstl Intell 27, 183–185 (2013). https://doi.org/10.1007/s13218-013-0246-3
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DOI: https://doi.org/10.1007/s13218-013-0246-3