Constraint based world modeling in mobile robotics

In this paper we present a novel approach using constraint based techniques for world modeling, i.e. self localization and object modeling. Within the last years, we have seen a reduction of landmarks such as beacons or colored goals within the RoboCup domain. Using other features as line informatio...

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Bibliographic Details
Published in2009 IEEE International Conference on Robotics and Automation pp. 2538 - 2543
Main Authors Gohring, Daniel, Mellmann, Heinrich, Burkhard, Hans-Dieter
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Cameras
Humans
Intelligent robots
Mobile computing
Mobile robots
Particle filters
Robot kinematics
Robot sensing systems
Robot vision systems
Robotics and automation
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Summary:In this paper we present a novel approach using constraint based techniques for world modeling, i.e. self localization and object modeling. Within the last years, we have seen a reduction of landmarks such as beacons or colored goals within the RoboCup domain. Using other features as line information becomes more important. Using such sensor data is tricky, especially when the resulting position belief is stretched over a larger area. Constraints can overcome this limitations, as they have several advantages: they can represent large distributions and are easy to store and to communicate to other robots. Propagation of several constraints can be computationally cheap. Even high dimensional belief functions can be used. We will describe a sample implementation and show experimental results.
ISBN:9781424427888
1424427886
ISSN:1050-4729
2577-087X
DOI:10.1109/ROBOT.2009.5152208