Publikation
Crossmodal Content Binding in Information-Processing Architectures
Henrik Jacobsson; N.A. Hawes; Geert-Jan Kruijff; J. Wyatt
In: C. Bartneck (Hrsg.). Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction (HRI-2008), March 12-15, Amsterdam, Netherlands, Pages 81-88, IEEE, 3/2008.
Zusammenfassung
Operating in a physical context, an intelligent robot faces two
fundamental problems. First, it needs to combine information from its
different sensors to form a representation of the environment that is
more complete than any representation a single sensor could
provide. Second, it needs to combine high-level representations (such
as those for planning and dialogue) with sensory information, to
ensure that the interpretations of these symbolic representations are
grounded in the situated context. Previous approaches to this problem
have used techniques such as (low-level) information fusion,
ontological reasoning, and (high-level) concept learning. This paper
presents a framework in which these, and related approaches, can be
used to form a shared representation of the current state of the robot
in relation to its environment and other agents. Preliminary results
from an implemented system are presented to illustrate how the
framework supports behaviours commonly required of an intelligent
robot.