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Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning (Interpretation Natürlichsprachlicher Roboterinstruktionen : Repräsentieren, Lernen und Schlussfolgern von Probabilistischem Wissen)

Daniel Nyga. Interpretation of Natural-language Robot Instructions: Probabilistic Knowledge Representation, Learning, and Reasoning (Interpretation Natürlichsprachlicher Roboterinstruktionen : Repräsentieren, Lernen und Schlussfolgern von Probabilistischem Wissen). PhD thesis, Bremen University, Germany, 2017. [doi]

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