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.

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