Research Article

Robotic Path Planning using Genetic Algorithm in Dynamic Environment

by  Toolika Arora, Yogita Gigras, Vijay Arora
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Issue 11
Published: March 2014
Authors: Toolika Arora, Yogita Gigras, Vijay Arora
10.5120/15674-4422
PDF

Toolika Arora, Yogita Gigras, Vijay Arora . Robotic Path Planning using Genetic Algorithm in Dynamic Environment. International Journal of Computer Applications. 89, 11 (March 2014), 8-12. DOI=10.5120/15674-4422 

                        @article{ 10.5120/15674-4422,
                        author  = { Toolika Arora,Yogita Gigras,Vijay Arora },
                        title   = { Robotic Path Planning using Genetic Algorithm in Dynamic Environment },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 89 },
                        number  = { 11 },
                        pages   = { 8-12 },
                        doi     = { 10.5120/15674-4422 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Toolika Arora
                        %A Yogita Gigras
                        %A Vijay Arora
                        %T Robotic Path Planning using Genetic Algorithm in Dynamic Environment%T 
                        %J International Journal of Computer Applications
                        %V 89
                        %N 11
                        %P 8-12
                        %R 10.5120/15674-4422
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Path planning is one of the important part of robotics. In this paper a path planning method based on genetic algorithm is proposed for finding path for mobile robot in dynamic environment. Here the genetic algorithm is applied at a point in the problem space not at the complete space. In this study the performance of the algorithm in terms of execution time and path length is evaluated using MATLAB environment.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Genetic Algorithm Mobile Robot Path Planning.

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