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Combining goal inference and natural-language dialogue for human-robot joint action
| Content Provider | Semantic Scholar |
|---|---|
| Author | Foster, Mary Ellen Giuliani, Manuel Mueller, Thomas D. Knoll, Alois Erlhagen, Wolfram Bicho, Estella. Hipólito, Nzoji Louro, Luis |
| Copyright Year | 2008 |
| 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. |
| Starting Page | 25 |
| Ending Page | 30 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ceur-ws.org/Vol-375/paper5.pdf |
| Alternate Webpage(s) | http://www6.in.tum.de/Main/Publications/Foster2008a.pdf |
| Alternate Webpage(s) | http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-375/paper5.pdf |
| Volume Number | 375 |
| Journal | ECAI 2008 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
