Optimal Path Planning of an Autonomous Mobile Robot Using Genetic Algorithm

Abstract:

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An autonomous Mobile Robot (AMR) is a machine able to extract information from its environment and move in a meaningful and purposeful manner. Robot Navigation and Obstacle avoidance are the most important problems in mobile robots. In the past, a number of soft computing algorithms have been designed by many researchers for robot navigation problems but very few are actually implementable because they haven’t considered robot size as parameter. This paper presents software simulation and hardware implementation of navigation of a mobile robot avoiding obstacles and selecting optimal path in a static environment using evolution based Genetic algorithms with robot size as a parameter in fitness function.

Info:

Periodical:

Advanced Materials Research (Volumes 488-489)

Edited by:

Wu Fan

Pages:

1747-1751

DOI:

10.4028/www.scientific.net/AMR.488-489.1747

Citation:

V. Vasu and K. J. Kumar, "Optimal Path Planning of an Autonomous Mobile Robot Using Genetic Algorithm", Advanced Materials Research, Vols. 488-489, pp. 1747-1751, 2012

Online since:

March 2012

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Price:

$35.00

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