BEHAVIOUR NAVIGATION LEARNINIG USING FACL ALGORITHM

Abdelkarim Souissi, Hacene Rezine

2007

Abstract

In this article, we are interested in the reactive behaviours navigation training of a mobile robot in an unknown environment. The method we will suggest ensures navigation in unknown environments with presence off different obstacles shape and consists in bringing the robot in a goal position, avoiding obstacles and releasing it from the tight corners and deadlock obstacles shape. In this framework, we use the reinforcement learning algorithm called Fuzzy Actor-Critic learning, based on temporal difference prediction method. The application was tested in our experimental PIONEER II platform.

References

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Paper Citation


in Harvard Style

Souissi A. and Rezine H. (2007). BEHAVIOUR NAVIGATION LEARNINIG USING FACL ALGORITHM . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 339-346. DOI: 10.5220/0001617403390346


in Bibtex Style

@conference{icinco07,
author={Abdelkarim Souissi and Hacene Rezine},
title={BEHAVIOUR NAVIGATION LEARNINIG USING FACL ALGORITHM},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={339-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001617403390346},
isbn={978-972-8865-82-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - BEHAVIOUR NAVIGATION LEARNINIG USING FACL ALGORITHM
SN - 978-972-8865-82-5
AU - Souissi A.
AU - Rezine H.
PY - 2007
SP - 339
EP - 346
DO - 10.5220/0001617403390346