Work place: Faculty of Exact and Applied Sciences-University of Oran, Algeria
E-mail: zinebl.90@gmail.com
Website:
Research Interests: Artificial Intelligence, Robotics
Biography
Zineb Laouici: Received her Master degree in Computer Science in 2012 at the University of Jijel - Algeria, on the thematic of AdHoc Networks. She is currently preparing the Ph.D. degree in Computer Science at the University of Oran - Algeria. She is also a research member at the Laboratory of Research in Industrial Computing and Networks at the University of Oran. Her main research interests include the control of Mobile Robots using the techniques of the Artificial Intelligence.
By Zineb LAOUICI Mohammed Amine MAMI Mohamed Faycal Khelfi
DOI: https://doi.org/10.5815/ijisa.2014.12.01, 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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