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Cooperative Multi-Robot Framework Using Artificial Immune System and Fuzzy Logic

Author(s)
Muhammad Saeed Shah Department of Electronics, University of Peshawar, Pakistan
Fazal Nasir Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan
Sana Ul Haq Department of Electronics, University of Peshawar, Pakistan
Muhammad Tahir Khan Department of Mechatronics Engineering, University of Engineering and Technology Peshawar, Pakistan
Abstract
The human immune system is a highly sophisticated system of biological structures that defends the human body against harmful antigens. In this paper, the concept of biological immune system, idiotypic network theory and clonal selection theory are applied in multi-robot cooperation. Idiotypic network theory governs the stimulation and suppression of an antibody in response to an antigen. Clonal selection theory represents how immune cells mutate and proliferate into memory cells. The methodology presented in this paper is autonomous and de-centralized. In the proposed system, the robots work effectively to complete a task either alone or co-operatively. Specifically, the coordination and communication among various robots are established based on the concept of immune system, idiotypic network theory and clonal selection theory. The developed methodology is successfully implemented through simulation. The experiments show that the simulated robots completed all tasks efectively.
Publication Details
Page(s) 1-13
DOI DOI not available
Published Journal: Journal of Engineering and Applied Sciences, Volume: 39, Issue: 1, Year: 2020

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Keywords
artificial immune system, artificial immune system, Clonal selection theory, Multi-robot cooperation, Idiotypic network theory
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