Paper
7 May 2010 Robust natural language dialogues for instruction tasks
Matthias Scheutz
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthias Scheutz "Robust natural language dialogues for instruction tasks", Proc. SPIE 7692, Unmanned Systems Technology XII, 769205 (7 May 2010); https://doi.org/10.1117/12.852179
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CITATIONS
Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Robots

Robotics

Head

Visualization

Computer architecture

Pollution control

Automatic tracking

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