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Publikováno v:
IEEE transactions on neural networks and learning systems. 29(7)
We present a unified framework which supports grounding natural-language semantics in robotic driving. This framework supports acquisition (learning grounded meanings of nouns and prepositions from human sentential annotation of robotic driving paths