Following directions using statistical machine translation

Following directions using statistical machine translation (2010)

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by Cynthia Matuszek , Dieter Fox , Karl Koscher

Venue:	In Proceeding of the 5th ACM/IEEE international conference on Human-robot interaction, 251–258. ACM
Citations:	8 - 0 self

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Datum	Value	Source
TITLE	Following directions using statistical machine translation	INFERENCE
AUTHOR NAME	Cynthia Matuszek	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science & Engineering; University of Washington	SVM HeaderParse 0.2
AUTHOR ADDR	Seattle, WA 98195-2350	SVM HeaderParse 0.2
AUTHOR NAME	Dieter Fox	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science & Engineering; University of Washington	SVM HeaderParse 0.2
AUTHOR ADDR	Seattle, WA 98195-2350	SVM HeaderParse 0.2
AUTHOR NAME	Karl Koscher	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science & Engineering; University of Washington	SVM HeaderParse 0.2
AUTHOR ADDR	Seattle, WA 98195-2350	SVM HeaderParse 0.2
ABSTRACT	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 robot. Our approach uses training data to learn to translate from natural language instructions to an automatically-labeled map. The complexity of the translation process is controlled by taking advantage of physical constraints imposed by the map. As a result, our technique can efficiently handle uncertainty in both map labeling and parsing. Our experiments demonstrate the promising capabilities achieved by our approach. Index Terms—Human-robot interaction; instruction following; navigation; statistical machine translation; natural language I.	SVM HeaderParse 0.2
YEAR	2010	INFERENCE
VENUE	In Proceeding of the 5th ACM/IEEE international conference on Human-robot interaction, 251–258. ACM	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
CITATIONS	25 found	ParsCit 1.0