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Publication type: Article in Proceedings
Author: Tim Laue, Thomas Röfer
Editor: Gerhard Lakemeyer, Elizabeth Sklar, Domenico G. Sorrenti, Tomoichi Takahashi
Title: Integrating Simple Unreliable Perceptions for Accurate Robot Modeling in the Four-Legged League
Book / Collection title: RoboCup 2006: Robot Soccer World Cup X
Volume: 4434
Page(s): 474 – 482
Series: Lecture Notes in Artificial Intelligence
Year published: 2007
Publisher: Springer
Abstract: The perception and modeling of other robots has been a topic of minor regard in the Four-Legged League, because of the limited processing und sensing capabilities of the AIBO platform. Even the current world champion, the GermanTeam, abandoned the usage of a robot recognition. Nevertheless, accurate position estimates of other players will be needed in the future to accomplish tasks such as passing or applying adaptive tactics. This paper describes an approach for localizing other players in a robot's local environment by integrating different unreliable perceptions of robots and obstacles, which may be computed in a reasonable way. The approach is based on Gaussian distributions describing the models of the robots as well as the perceptions. The integration of information is realized by using Kalman filtering.
PDF Version: http://www.informatik.uni-bremen.de/kogrob/papers/RC-Laue-Roefer-07.pdf
Status: Reviewed
Last updated: 06. 11. 2013

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