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Reseach Article

Path Planning of Mobile Robot by using Modified Optimized Potential Field Method

by Alaa A. Ahmed, Turki Y. Abdalla, Ali A. Abed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 4
Year of Publication: 2015
Authors: Alaa A. Ahmed, Turki Y. Abdalla, Ali A. Abed
10.5120/19812-1614

Alaa A. Ahmed, Turki Y. Abdalla, Ali A. Abed . Path Planning of Mobile Robot by using Modified Optimized Potential Field Method. International Journal of Computer Applications. 113, 4 ( March 2015), 6-10. DOI=10.5120/19812-1614

@article{ 10.5120/19812-1614,
author = { Alaa A. Ahmed, Turki Y. Abdalla, Ali A. Abed },
title = { Path Planning of Mobile Robot by using Modified Optimized Potential Field Method },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 4 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number4/19812-1614/ },
doi = { 10.5120/19812-1614 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:04.560891+05:30
%A Alaa A. Ahmed
%A Turki Y. Abdalla
%A Ali A. Abed
%T Path Planning of Mobile Robot by using Modified Optimized Potential Field Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 4
%P 6-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with the navigation of a mobile robot in an unknown environment by using artificial potential field (APF) method. The aim is to develop a method for path planning of mobile robot from start point to the goal point while avoiding obstacles on robot's path. Artificial potential field method will be modified and optimized by using particle swarm optimization (PSO) algorithm to solve the drawbacks such as local minima and improve the quality of the trajectory of mobile robot.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Path Planning Artificial Potential Fields PID Controller Particle swarm optimization