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Robot Path Planning using Swarm Intelligence: A Survey

by Narendra Singh Pal, Sanjeev Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 12
Year of Publication: 2013
Authors: Narendra Singh Pal, Sanjeev Sharma
10.5120/14498-2274

Narendra Singh Pal, Sanjeev Sharma . Robot Path Planning using Swarm Intelligence: A Survey. International Journal of Computer Applications. 83, 12 ( December 2013), 5-12. DOI=10.5120/14498-2274

@article{ 10.5120/14498-2274,
author = { Narendra Singh Pal, Sanjeev Sharma },
title = { Robot Path Planning using Swarm Intelligence: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 12 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number12/14498-2274/ },
doi = { 10.5120/14498-2274 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:09.609498+05:30
%A Narendra Singh Pal
%A Sanjeev Sharma
%T Robot Path Planning using Swarm Intelligence: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 12
%P 5-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The concept of swarm intelligence is based on the collective social behaviour of decentralized body, either natural or artificial like ant, fish, bird, bee etc. Swarm intelligence has gained very high priority among the researchers from different field like commerce, science and engineering. Multiple editions of swarm intelligence's techniques made it suitable for optimization problems. In this paper, we have present a review of 4 different algorithms based on swarm intelligence for finding the path by mobile robot. Path planning is an interesting problem in mobile robotics. It is about finding the shortest, collision free and smooth path by the robot form predefined starting position to fixed goal position in an environment with obstacles either moving or stationary. This problem is difficult to solve particularly in the case of dynamic environment where the optimal path needs to be rerouted in real time when a new obstacle come out.

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Index Terms

Computer Science
Information Sciences

Keywords

Robot Path Planning Swarm Intelligence Moving Obstacles Dynamic Environment Collision avoidance Convergence Optimization.

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