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Titel:

Combining Goal Inference and Natural-Language Dialogue for Human-Robot Joint Action

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Foster, Mary Ellen; Giuliani, Manuel; Müller, Thomas; Rickert, Markus; Knoll, Alois; Erlhagen, Wolfram; Bicho, Estela; Hipólito, Nzoji; Louro, Luis
Abstract:
We demonstrate how combining the reasoning components from two existing systems designed for human-robot joint action produces an integrated system with greater capabilities than either of the individual systems. One of the systems supports primarily non-verbal interaction and uses dynamic neural fields to infer the user’s goals and to suggest appropriate system responses; the other emphasises natural-language interaction and uses a dialogue manager to process user input and select appropriate...     »
Stichworte:
jast
Kongress- / Buchtitel:
Proceedings of the International Workshop on Combinations of Intelligent Methods and Applications, European Conference on Artificial Intelligence (ECAI)
Jahr:
2008
Monat:
Jul
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