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The Multitasking System of Swarm Robot based on Null-Space-Behavioral Control Combined with Fuzzy Logic

Department of Cybernetics, University of Transport and Communication, Hanoi 122000, Vietnam
Department of Electrical Engineering and Automation, Haiphong Private University, Haiphong 181810, Vietnam
Author to whom correspondence should be addressed.
Micromachines 2017, 8(12), 357;
Received: 26 November 2017 / Revised: 6 December 2017 / Accepted: 7 December 2017 / Published: 9 December 2017
(This article belongs to the Special Issue Locomotion at Small Scales: From Biology to Artificial Systems)
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A swarm robot is a collection of large numbers of simple robots used to perform complex tasks that a single robot cannot perform or only perform ineffectively. The swarm robot works successfully only when the cooperation mechanism among individual robots is satisfied. The cooperation mechanism studied in this article ensures the formation and the distance between each pair of individual robots while moving to their destination while avoiding obstacles. The solved problems in this article include; controlling the suction/thrust force between each pair of individual robots in the swarm based on the fuzzy logic structure of the Singer-Input-Singer-Output under Mamdani law; demonstrating the stability of the system based on the Lyapunov theory; and applying control to the multitasking system of the swarm robot based on Null-Space-Behavioral control. Finally, the simulation results make certain that all the individual robots assemble after moving and avoid obstacles. View Full-Text
Keywords: swarm robot; Lyapunov theory; fuzzy control; multitasking swarm robot; Lyapunov theory; fuzzy control; multitasking

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Le Thi Thuy, N.; Nguyen Trong, T. The Multitasking System of Swarm Robot based on Null-Space-Behavioral Control Combined with Fuzzy Logic. Micromachines 2017, 8, 357.

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