Mohammed Amine MAMI

Work place: Faculty of Exact and Applied Sciences-University of Oran, Algeria



Research Interests: Robotics, Process Control System, Data Structures and Algorithms


Mohammed Amine MAMI: Received the Engineer Degree in Soft Engineering in 1999 and the Master Degree in Soft Computing and Automatic Control in 2006 at the University of Oran - Algeria. He is currently preparing the Ph.D. degree in Soft Computing and Automatic Control at the same university. He is also a research member at the Laboratory of Research in Industrial Computing and Networks. His main research interests include Automatic Control, Industrial Computing, Mobile Robots and Networks.

Author Articles
Hybrid Method for the Navigation of Mobile Robot Using Fuzzy Logic and Spiking Neural

By Zineb LAOUICI Mohammed Amine MAMI Mohamed Faycal Khelfi

DOI:, Pub. Date: 8 Nov. 2014

The aim of this paper is to present a strategy describing a hybrid approach for the navigation of a mobile robot in a partially known environment. The main idea is to combine between fuzzy logic approach suitable for the navigation in an unknown environment and spiking neural networks approach for solving the problem of navigation in a known environment. In the literature, many approaches exist for the navigation purpose, for solving separately the problem in both situations. Our idea is based on the fact that we consider a mixed environment, and try to exploit the known environment parts for improving the path and time of navigation between the starting point and the target. The Simulation results, which are shown on two simulated scenarios, indicate that the hybridization improves the performance of robot navigation with regard to path length and the time of navigation.

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