Direct and Inverse Neural Modelization of Mobile Robots

Ines Mahmoud; Ayachi Errachdi; Mohamed Benrejeb

doi:10.15866/ireaco.v8i2.4595

Direct and Inverse Neural Modelization of Mobile Robots

Ines Mahmoud⁽¹⁾, Ayachi Errachdi^(2*), Mohamed Benrejeb⁽³⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/ireaco.v8i2.4595

Abstract

In this paper, direct and inverse models determination of a mobile robot using artificial neural networks are proposed. The effectiveness of the proposed algorithm applied to the modeling of behavior of CHAR and KHEPERA robots is verified by simulation experiments. The results of simulation show that the use of the neural networks in the determination of direct model and inverse model is very interesting since it enables to guarantee the time competition and the quality of the modeling.
Copyright © 2015 Praise Worthy Prize - All rights reserved.

Keywords

Direct Model; Inverse Model; Artificial Neural Network; Robotic Model; Learning Rate

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