Qualitative and quantitative representations of locomotion and their application in robot navigation

Authors:
Alexandra Musto;Klaus Stein;Andreas Eisenkolb;Thomas Rofer
Affiliations:
Institut f. Informatik, Technische Universitat München, München, Germany;Institut f. Informatik, Technische Universitat München, München, Germany;Institut f. med. Psychologic, LMU München, München, Germany;Bremer Inst. f. Sichere Systeme, Universitat Bremen, Bremen, Germany
Venue:
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Year:
1999

Citing 1
Cited 5

Qualitative representation of positional information

Artificial Intelligence

Route Navigation Using Motion Analysis

COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Qualitative Velocity

CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Qualitative spatial reasoning about relative position: the tradeoff between strong formal properties and successful reasoning about route graphs

Spatial cognition III
A condensed semantics for qualitative spatial reasoning about oriented straight line segments

Artificial Intelligence
QRPC: A new qualitative model for representing motion patterns

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Qualitative and quantitative representations of space in general and motion in particular have their typical fields of application which are unified in an autonomously moving robot interacting with human beings. Therefore it is necessary to make some considerations on both approaches when dealing with such a robot. This paper presents quantitative and qualitative representations of locomotion and algorithms to deal with them. This work was applied to the navigation of a semi-autonomous wheelchair along routes in networks of corridors.