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Proceedings Paper

Robust natural language dialogues for instruction tasks
Author(s): Matthias Scheutz
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Paper Abstract

Being able to understand and carry out spoken natural instructions even in limited domains is extremely challenging for current robots. The difficulties are multifarious, ranging from problems with speech recognizers to difficulties with parsing disfluent speech or resolving references based on perceptual or task-based knowledge. In this paper, we present our efforts at starting to address these problems with an integrated natural language understanding system implemented in our DIARC architecture on a robot that can handle fairly unconstrained spoken ungrammatical and incomplete instructions reliably in a limited domain.

Paper Details

Date Published: 7 May 2010
PDF: 9 pages
Proc. SPIE 7692, Unmanned Systems Technology XII, 769205 (7 May 2010); doi: 10.1117/12.852179
Show Author Affiliations
Matthias Scheutz, Indiana Univ. (United States)

Published in SPIE Proceedings Vol. 7692:
Unmanned Systems Technology XII
Grant R. Gerhart; Douglas W. Gage; Charles M. Shoemaker, Editor(s)

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