Combining goal inference and natural-language dialogue for human-robot joint action

Mary Ellen Foster, Manuel Giuliani, Thomas Müller, Markus Rickert, Alois Knoll, Wolfram Erlhagen, Estela Bicho, Nzoji Hipólito, Luis Louro

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

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 system responses. Combining these two methods of reasoning results in a robot that is able to coordinate its actions with those of the user while employing a wide range of verbal and non-verbal communicative actions.

Original languageEnglish
Pages (from-to)25-30
Number of pages6
JournalCEUR Workshop Proceedings
Volume375
StatePublished - 2008
Event1st International Workshop on Combinations of Intelligent Methods and Applications, CIMA 2008 - Patras, Greece
Duration: 22 Jul 200822 Jul 2008

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