Mohamed Slim Masmoudi

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With the aging of the population and increasing number of disabled people who have mobility impairments, the interest of the research on technology for health and independence represent an importance paramount in present day. In this paper an intelligent wheelchair is developed to help these types of patients using advanced system to control the movement of(More)
networks are instigating increasing interest in the fields of control and robotics. The rapidity of processing, the ability to learn and adapt as well as the robustness of these approaches, are motivating this work. To help this system be embedded in a wheelchair, it is imperative to respect the functional constraints and those of resource allocation,(More)
  • Imen klabi, Afef Benjemmaa, +9 authors Hélène Paugam-Mois
  • 2012
Recently, neural networks have demonstrated their ability to achieve excellent performance for the control of mobile robots. In fact, the recourse of this control method by learning has become a necessity because control systems obtain then, proceed by collecting empirical data, storing and removing the knowledge contained in it and using this knowledge to(More)
This paper describes the design and the implementation of a trajectory tracking controller using fuzzy logic for mobile robot to navigate in indoor environments. Most of the previous works used two independent controllers for navigation and avoiding obstacles. The main contribution of the paper can be summarized in the fact that we use only one fuzzy(More)
In this paper, a new high-level hardware FPGA design methodology, for artificial neural networks (ANN) descriptions, is proposed. In order to speed convergence of an ANN while avoiding instability, a back-propagation algorithm (BP), employing a momentum term to train the ANN, is used. A case study of comparison, between the back propagation (BP) and(More)
In this paper an obstacle avoidance system and a Fuzzy Logic Controller (FLC), together with a distributed system of embedded microcontrollers, are presented. The Fuzzy logic algorithm is a powerful solution among Soft computing techniques, which deals with certain control problems especially when the situation is undefined and ambiguous. One of the main(More)
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