Modelling immune systems responses for the development of energy sharing strategies for swarm robotic systems

Author

Al Haek, Mohammed ; Ismail, Amelia Ritahani ; Nordin, Azlin ; Sulaiman, Suriani ; HuiKeng Lau

Author_Institution

Dept. of Comput. Sci., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia

fYear

2014

Firstpage

1

Lastpage

6

Abstract

This paper presents an initial investigation on studying an immune systems response, the granuloma formation, for inspirations on the development of energy sharing strategies for swarm robotic systems. Granuloma formation is a process in which unwanted substances are removed by immune systems. To better understand the components and the processes in granuloma formation, we modeled them using Unified Modelling Language (UML). Based on this model, analogous properties of the granuloma formation and swarm robotic systems are mapped accordingly. Based on these work, energy sharing strategies which are inspired by the process in granuloma formation are proposed for fault tolerance in swarm robotic systems.

Keywords

Unified Modeling Language; artificial immune systems; multi-robot systems; UML; analogous properties; energy sharing strategies; fault tolerance; granuloma formation; immune system response modelling; swarm robotic systems; unified modelling language; Computational modeling; Lymph nodes; Microorganisms; Robot kinematics; Unified modeling language; Artificial Immune Systems; Immune Process Modelling; Modelling; Swarm Robotics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Technology (ICCST), 2014 International Conference on

Type

conf

DOI

10.1109/ICCST.2014.7045178

Filename

7045178