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Reseach Article

Path Planning of an Autonomous Mobile Robot using Directed Artificial Bee Colony Algorithm

by Nizar Hadi Abbas, Farah Mahdi Ali
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 11
Year of Publication: 2014
Authors: Nizar Hadi Abbas, Farah Mahdi Ali
10.5120/16836-6681

Nizar Hadi Abbas, Farah Mahdi Ali . Path Planning of an Autonomous Mobile Robot using Directed Artificial Bee Colony Algorithm. International Journal of Computer Applications. 96, 11 ( June 2014), 11-16. DOI=10.5120/16836-6681

@article{ 10.5120/16836-6681,
author = { Nizar Hadi Abbas, Farah Mahdi Ali },
title = { Path Planning of an Autonomous Mobile Robot using Directed Artificial Bee Colony Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 11 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number11/16836-6681/ },
doi = { 10.5120/16836-6681 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:27.547853+05:30
%A Nizar Hadi Abbas
%A Farah Mahdi Ali
%T Path Planning of an Autonomous Mobile Robot using Directed Artificial Bee Colony Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 11
%P 11-16
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the problem of offline autonomous mobile robot path planning, which is consist of generating optimal paths or trajectories for an autonomous mobile robot from a starting point to a destination across a flat map of a terrain, represented by a 2-D workspace. An improved algorithm for solving the problem of path planning using Artificial Bee Colony algorithm is presented. This nature-inspired metaheuristic algorithm, which imitates the foraging behavior of bees around their hive, is used to find the optimal path from a starting point to a target point. The proposed algorithm is demonstrated by simulations in three different environments. A comparative study is evaluated between the developed algorithm, the original ABC and other two state-of-the-art algorithms. This study shows that the proposed method is effective and gets trajectories with satisfactory results.

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Index Terms

Computer Science
Information Sciences

Keywords

Autonomous robots Holonomic robot Path planning Optimization methods Artificial bee colony algorithm