Open Access

ARTICLE

Locomotion of Bioinspired Underwater Snake Robots Using Metaheuristic Algorithm

Souad Larabi-Marie-Sainte¹, Taiseer Abdalla Elfadil Eisa², Fahd N. Al-Wesabi^3,4, Amani Abdulrahman Albraikan⁵, Manar Ahmed Hamza^6,*, Abdelwahed Motwakel⁶, Ishfaq Yaseen⁶, Mesfer Al Duhayyim⁷

1 Department of Computer Science, College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia
2 Department of Information Systems-Girls Section, King Khalid University, Mahayil, 62529, Saudi Arabia
3 Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, 62529, Saudi Arabia
4 Faculty of Computer and IT, Sana'a University, Sana'a, 1247, Yemen
5 Department of Computer Science, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, 11564, Saudi Arabia
6 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, 16278, Saudi Arabia
7 Department of Natural and Applied Sciences, College of Community-Aflaj, Prince Sattam bin Abdulaziz University, 16278, Saudi Arabia

* Corresponding Author: Manar Ahmed Hamza. Email:

Computers, Materials & Continua 2022, 72(1), 1293-1308. https://doi.org/10.32604/cmc.2022.024585

Received 23 October 2021; Accepted 06 December 2021; Issue published 24 February 2022

Abstract

Snake Robots (SR) have been successfully deployed and proved to attain bio-inspired solutions owing to its capability to move in harsh environments, a characteristic not found in other kinds of robots (like wheeled or legged robots). Underwater Snake Robots (USR) establish a bioinspired solution in the domain of underwater robotics. It is a key challenge to increase the motion efficiency in underwater robots, with respect to forwarding speed, by enhancing the locomotion method. At the same time, energy efficiency is also considered as a crucial issue for long-term automation of the systems. In this aspect, the current research paper concentrates on the design of effectual Locomotion of Bioinspired Underwater Snake Robots using Metaheuristic Algorithm (LBIUSR-MA). The proposed LBIUSR-MA technique derives a bi-objective optimization problem to maximize the Forward Velocity (FV) and minimize the Average Power Consumption (APC). LBIUSR-MA technique involves the design of Manta Ray Foraging Optimization (MRFO) technique and derives two objective functions to resolve the optimization issue. In addition to these, effective weighted sum technique is also used for the integration of two objective functions. Moreover, the objective functions are required to be assessed for varying gait variables so as to inspect the performance of locomotion. A detailed set of simulation analyses was conducted and the experimental results demonstrate that the developed LBIUSR-MA method achieved a low Average Power Consumption (APC) value of 80. under δ value of 50. The proposed model accomplished the minimum PAC and maximum FV of USR in an effective manner.

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