by Wagner, Thomas and Hübner, Kai
Abstract:
Navigation is one of the most fundamental tasks to be accomplished by many types of mobile and cognitive systems. Most approaches in this area are based on building or using existing allocentric, static maps in order to guide the navigation process. In this paper we propose a simple egocentric, qualitative approach to navigation based on ordering information. An advantage of our approach is that it produces qualitative spatial information which is required to describe and recognize complex and abstract, i.e., translation-invariant behavior. In contrast to other techniques for mobile robot tasks, that also rely on landmarks it is also proposed to reason about their validity despite insufficient and uncertain sensory data. Here we present a formal approach that avoids this problem by use of a simple internal spatial representation based on landmarks aligned in an "extended panoramic representation" structure.
Reference:
Wagner, Thomas and Hübner, Kai, "An Egocentric Qualitative Spatial Knowledge Representation Based on Ordering Information for Physical Robot Navigation", 2004.
Bibtex Entry:
@MISC{Wagner2004c,
author = {Wagner, Thomas and H{\"u}bner, Kai},
title = {An Egocentric Qualitative Spatial Knowledge Representation Based
on Ordering Information for Physical Robot Navigation},
howpublished = {ECAI-04, Workshop on Issues in Designing Physical Agents for Dynamic
Real-Time Environments},
year = {2004},
abstract = {Navigation is one of the most fundamental tasks to be accomplished
by many types of mobile and cognitive systems. Most approaches in
this area are based on building or using existing allocentric, static
maps in order to guide the navigation process. In this paper we propose
a simple egocentric, qualitative approach to navigation based on
ordering information. An advantage of our approach is that it produces
qualitative spatial information which is required to describe and
recognize complex and abstract, i.e., translation-invariant behavior.
In contrast to other techniques for mobile robot tasks, that also
rely on landmarks it is also proposed to reason about their validity
despite insufficient and uncertain sensory data. Here we present
a formal approach that avoids this problem by use of a simple internal
spatial representation based on landmarks aligned in an ''extended
panoramic representation'' structure.},
owner = {pmania},
timestamp = {2012.11.06},
url = {http://www-agki.tzi.de/grp/ag-ki/download/2004/ECAII-W{\%}20An{\%}20Egocentric{\%}20Qualitative{\%}20Spatial{\%}20Knowledge{\%}20Representation{\%}20Based{\%}20on{\%}20Ordering{\%}20Information.pdf}
}