@COMMENT This file was generated by bib2html.pl version 0.90
@COMMENT written by Patrick Riley
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@InProceedings{IJCAI07-mohan,
author="Mohan Sridharan and Peter Stone",
title="Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination",
BookTitle="The 20th International Joint Conference on Artificial Intelligence",
month="January",year="2007",
pages="2212--2217",
abstract={
A central goal of robotics and AI is to be able to
deploy an agent to act autonomously in the real
world over an extended period of time. It is
commonly asserted that in order to do so, the agent
must be able to \emph{learn} to deal with unexpected
environmental conditions. However an \emph{ability}
to learn is not sufficient. For true extended
autonomy, an agent must also be able to recognize
\emph{when} to abandon its current model in favor of
learning a new one; and \emph{how} to learn in its
current situation. This paper presents a fully
implemented example of such extended autonomy in the
context of color map learning on a vision-based
mobile robot for the purpose of image
segmentation. Past research established the ability
of a robot to learn a color map in a single fixed
lighting condition when manually given a
``curriculum'', an action sequence designed to
facilitate learning. This paper introduces
algorithms that enable a robot to i) devise its own
curriculum; and ii) recognize for itself when
lighting conditions have changed sufficiently to
warrant learning a new color map.
},
wwwnote={IJCAI-07},
}