Title :
Neural Networks and Fuzzy Logic navigation approach for a bi-steerable mobile robot
Author :
Azouaoui, O. ; Ouadah, N. ; Mansour, I. ; Semani, A.
Author_Institution :
Centre de Dev. des Technol. Av. (CDTA), Algiers, Algeria
Abstract :
This paper presents an implementation of an intelligent navigation approach on a bi-steerable mobile robot Robucar. This approach is based on Neural Networks (NN) and Fuzzy Logic (FL) paradigms to provide Robucar with capability to acquire the obstacle avoidance, target localization, decision-making and action behaviors after learning and adaptation. To develop this approach, three (NN) and a FL controller to achieve the desired task are used. Experimental results are presented showing the effectiveness of the overall navigation control system.
Keywords :
collision avoidance; decision making; fuzzy control; learning systems; mobile robots; neurocontrollers; action behaviors; bisteerable mobile robot Robucar; decision-making; fuzzy logic controller; intelligent navigation approach; learning; navigation control system; neural networks; obstacle avoidance; target localization; Artificial neural networks; Collision avoidance; Fuzzy logic; Navigation; Robot kinematics; Vehicles; Mobile robots; fuzzy logic; neural networks; obstacle avoidance;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
DOI :
10.1109/URAI.2011.6145930
