You are in:Home/Publications/Fuzzy Logic Control of an Autonomous Mobile Robot

Prof. Adly Shahat Mergany Tag eldien :: Publications:

Title:
Fuzzy Logic Control of an Autonomous Mobile Robot
Authors: 15- Sawsan Abdel-Latif El – Teleity, Hala M. Abdel-Kader Mansour, Zaky B. Nossair, Adly Tag El-Dien
Year: 2011
Keywords: Not Available
Journal: 16th International Conference on Methods and Models in Automation and Robotics MMAR
Volume: Not Available
Issue: Not Available
Pages: 188-193
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper adly Shahat Mergany tag eldien_fazzy logic control.pdf
Supplementary materials Not Available
Abstract:

Navigation of autonomous mobile robots in unpredictable and dynamic environments is restricted by uncertainty, complexity, and unreliability issues of robots and their environments. In this context a navigation system for an autonomous mobile robot using intelligent fuzzy logic technique will be presented. Fuzzy logic control is able to emulate human experience about how best to control a system without needing accurate model equations, and can handle any perturbation in the system. A hierarchical behavior based control strategy has been devised in which four different reactive behaviors are combined by means of a fuzzy supervisor. For testing and validation, many simulations have been proposed which focus on: moving towards static or movable goal; escaping from local minima whenever it’s detected; and traversing a cluttered environment with unknown static and dynamic obstacles.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus