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A Fast Non-dominated Sorting Multi-objective Symbiotic Organism Search Algorithm for Energy Efficient Locomotion of Snake Robot

Yesim Aysel Baysal¹ and Ismail Hakki Altas²

1. Department of Electrical and Electronics Engineering, Karadeniz Technical University
   Trabzon, Turkey
   {yabaysal, ihaltas}@ktu.edu.tr

Abstract

This paper deals with energy efficient locomotion of a wheel-less snake robot. This is very crucial for potential applications of untethered snake robots. The optimum gait parameters for the energy efficient locomotion of the snake robot are obtained with two different multi-objective algorithms based on symbiotic organism search algorithm by considering both minimizing the average power consumption and maximizing the forward velocity of the robot. This paper also investigates the energy efficient locomotion of the snake robot under different environment conditions. The obtained results demonstrate that both proposed methods achieve satisfying stable results regarding power consumption reduction with optimal forward velocity for lateral undulation motion. However, it is seen that fast non-dominated sorting multi-objective symbiotic organism search algorithm provides advantage on obtaining a uniformly distributed solution set with a good diversity only in a single run. This paper is important in terms of presenting useful results for developing efficient motion and environmental adaptability of the snake robot.

Key words

Energy efficiency, adaptive locomotion, friction condition, optimum gait parameters, symbiotic organism search algorithm, multi-objective optimization, snake robot

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS210222067B

Publication information

Volume 19, Issue 1 (January 2022)
Year of Publication: 2022
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Baysal, Y. A., Altas, I. H.: A Fast Non-dominated Sorting Multi-objective Symbiotic Organism Search Algorithm for Energy Efficient Locomotion of Snake Robot. Computer Science and Information Systems, Vol. 19, No. 1, 353-378. (2022), https://doi.org/10.2298/CSIS210222067B