Intelligent Visual Robot Navigator via Type-2 Fuzzy Logic and Horn-Schunck Methods
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Date
2022-01-24
Journal Title
Journal ISSN
Volume Title
Publisher
University of Eloued جامعة الوادي
Abstract
The aim of this paper is to propose a visual navigation control system
for a wheeled mobile robot using a type-2 fuzzy logic controller (T2FLC)
and Horn-Schunck algorithm (HS) of optical flow (OF) approach. The obstacle
avoidance task for an autonomous mobile robot is studied using Takagi-Sugeno
fuzzy logic controller based on video acquisition and image processing algorithm.
The horn-Schunck algorithm is applied to extract information about
the environment and estimate the positions of the surrounding obstacles. The
captured image is divided into two parts right and left in order to facilitate
the robot motion. Simulation is done using Visual Reality Toolbox in 2D and
3D. The obtained simulation results demonstrate the effectiveness of this autonomous
visual navigator.
Description
Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloued
Keywords
Horn-Schunck algorithm · Mobile Robot · type-2 fuzzy logic · VRML toolbox · visual navigation
Citation
NADOUR, Mohamed. CHERROUN, Lakhmissi .BOUMEHRAZ, Mohamed. Intelligent Visual Robot Navigator via Type-2 Fuzzy Logic and Horn-Schunck Methods. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]