Following directions using statistical machine translation

Human-Robot Interaction, 2010, Pages 251-258E.

Cited by: 170|Bibtex|Views22|DOI:https://doi.org/10.1109/HRI.2010.5453189
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate how statistical machine translation techniques can be used to bridge the gap between natural language route instructions and a map of an environment built by a robo...More

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