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A Fixed-Weight RNN Dynamic Controller for Multiple Mobile Robots

contributor IPVS, Bildverstehen
creator Oubbati, Mohamed
Levi, Paul
Schanz, Michael
date 2005-02
description In this paper, we demonstrate the ability of a single fixed-weight RNN to act as a dynamic controller for several (here 3) distinct wheeled mobile robots, without exact knowledge about their dynamics parameters. The controller is properly trained to exhibit adaptive behaviour after its weights have been fixed. This capability is a natural consequence of prior meta-learning used recently in the area of RNNs.
identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-20&engl=1
language eng
publisher Austria: ACTA Press
relation IASTED
source In: Proceedings of the 24th IASTED International Conference on MODELLING, IDENTIFICATION, AND CONTROL: MIC 2005; Innsbruck, Austria, February 16-18, 2005., pp. 277-282
subject Robotics (CR I.2.9)
Mobile Robot
Recurrent Neural Networks
Meta-Learning
Adaptive Control
title A Fixed-Weight RNN Dynamic Controller for Multiple Mobile Robots
type Text
Article in Proceedings