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Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data -
How can we build robots that engage in fluid spoken conversations with people, moving beyond canned responses to words and towards actually understanding? As a step towards addressing this question, we introduce a robotic architecture that provides a basis for grounding word meanings. The architecture provides perceptual, procedural, and affordance representations for grounding words. A perceptuallycoupled on-line simulator enables sensorymotor representations that can shift points of view.doi:10.3115/1119212.1119222 fatcat:mb2l7qwvbfdxdbctatmad7baqm