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Reseach Article

Autonomous Mobile Robot Navigation by Combining Local and Global Techniques

by Shahida Khatoon, Ibraheem
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 3
Year of Publication: 2012
Authors: Shahida Khatoon, Ibraheem
10.5120/4585-6519

Shahida Khatoon, Ibraheem . Autonomous Mobile Robot Navigation by Combining Local and Global Techniques. International Journal of Computer Applications. 37, 3 ( January 2012), 1-10. DOI=10.5120/4585-6519

@article{ 10.5120/4585-6519,
author = { Shahida Khatoon, Ibraheem },
title = { Autonomous Mobile Robot Navigation by Combining Local and Global Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 3 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number3/4585-6519/ },
doi = { 10.5120/4585-6519 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:19.089075+05:30
%A Shahida Khatoon
%A Ibraheem
%T Autonomous Mobile Robot Navigation by Combining Local and Global Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 3
%P 1-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present article is devoted to develop an algorithm for obstacle avoidance of an autonomous mobile robot based on fuzzy logic/ The method of navigation proposed provides a way of blending the intelligence and optimality of global methods with the reactive dynamic behavior of local ones. This is achieved by using hybrid navigation system composed of two modules, one of which uses the a-priori information and determines roughly the optimal route towards the goal, whereas the other carries out effective navigation decisions using the potential function based local approach. The fuzzy rules are constructed from intuitive and subjective human ways of collision avoidance. The results of the present study are compares favorably with those of well-established algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Autonomous robot system reactive navigation goal seeking open area seeking obstacle avoidance fuzzy subset