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W. Bradley Knox, Juhyun Lee,
and Peter Stone. Domestic Interaction on a Segway Base. In Luca Iocchi,
Hitoshi Matsubara, Alfredo Weitzenfeld, and Changjiu Zhou, editors, RoboCup-2008: Robot Soccer World Cup XII, Lecture
Notes in Artificial Intelligence, Springer Verlag, Berlin, 2008.
Official version from Publisher's
Webpage© Springer-Verlag
(unavailable)
To be useful in a home environment, an assistive robot needsto be capable of a broad range of interactive activities such as locat-ing ob jects, following specific people, and distinguishing among differ-ent people. This paper presents a Segway-based robot that successfullyperformed all of these tasks en route to a second place finish in theRoboCup@Home 2007 competition. The main contribution is a com-plete description and analysis of the robot system and its implementedalgorithms that enabled the robot's successful human-robot interactionin this broad and challenging forum. We describe in detail a novel per-son recognition algorithm, a key component of our overall success, thatincluded two co-trained classifiers, each focusing on different aspects ofthe person (face and shirt color).
@Incollection(LNAI2008-knox,
author="W. Bradley Knox and Juhyun Lee and Peter Stone",
title="Domestic Interaction on a Segway Base",
booktitle= "{R}obo{C}up-2008: Robot Soccer World Cup {XII}",
Editor="Luca Iocchi and Hitoshi Matsubara and Alfredo Weitzenfeld and Changjiu Zhou",
Publisher="Springer Verlag",
address="Berlin",
year="2008",
series="Lecture Notes in Artificial Intelligence",
abstract={
To be useful in a home environment, an assistive robot needs
to be capable of a broad range of interactive activities such as locat-
ing ob jects, following specific people, and distinguishing among differ-
ent people. This paper presents a Segway-based robot that successfully
performed all of these tasks en route to a second place finish in the
RoboCup@Home 2007 competition. The main contribution is a com-
plete description and analysis of the robot system and its implemented
algorithms that enabled the robot's successful human-robot interaction
in this broad and challenging forum. We describe in detail a novel per-
son recognition algorithm, a key component of our overall success, that
included two co-trained classifiers, each focusing on different aspects of
the person (face and shirt color).
},
wwwnote = {Official version from <a href="http://www.springerlink.com/index/0KT87XUWFUY3HT4J">Publisher's Webpage</a>© Springer-Verlag},
)
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