International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

International Journal of Engineering Research in Electrical and Electronic Engineering

Volume3 ,May 2016.

Volume3,May 2016,

Topic : Optimal Path Planning In Autonomous Robots Using Genetic Algorithm

Authors:Basavanna M || Dr. M. Shivakumar

Abstract:Determination of a collision free path for a mobile robot between start and goal points through obstacles in a workspace is important to the design of an autonomous robot path planning. One way to make sure the robot’s path is the best path for the given environment is by making use of various path planning algorithms. In this paper we use a genetic algorithm approach to solve the path planning problem. The obstacle free path is chosen such that the robot avoids all the obstacles in its path and finds the shortest path. Then the Processing Time and Path Length for the given workspace is obtained. The results obtained for genetic algorithm are compared with the results obtained for the same workspace using other two algorithms such as A – Star and Bidirectional RRT Algorithm..

Keywords: Genetic algorithm, A-star algorithm, robots, path planning, optimal path, robot map, MATLAB.

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DOI: 01.1617/vol2iss5pid090


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Editor-in-Chief

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Editor-in-Chief
Dr.Krzysztof Chwastek
Associate Professor,
Czestochowa University of Technology, Polland.


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IMPACT FACTOR: 3.784

ISSN(Online): 2395-2717

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 30%
ARTICLES PUBLISHED:0151
PAPER RECEIVED:00503
Journal Code : IJEREEE
Electronic ISSN : 2395-2717
Impact Factor : 3.784
Frequency : monthly
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