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

• Autor(es): Foster, Mary Ellen ; Giuliani, Manuel ; Müller, Thomas ; Knoll, Alois ; Erlhagen, Wolfram ; Bicho, E. ; Hipólito, Nzoji ; Louro, Luís
• Data: 2008
• Identificador Persistente: http://hdl.handle.net/1822/19093
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Goal inference; Natural-language dialogue; Human-robot interaction; Joint action
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

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.