Multi-Robot Cooperation using Immune Network with Memory

Razali, Sazalinsyah and Meng, Qinggang and Yang, Shuang-Hua (2009) Multi-Robot Cooperation using Immune Network with Memory. In: 7th IEEE International Conference on Control & Automation 2009, 9-11 Dec 2009, Christchurch, New Zealand.

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In this paper, basic biological immune systems and their responses to external elements to maintain an organism's health state are described. The relationship between immune systems and multi-robot systems are also discussed. Our proposed algorithm is based on immune network theories that have many similarities with the multi-robot systems domain. The paper describes a memory-based immune network that enhance a robot's action-selection process and can obtain an overall a quick group response. The algorithm which is named as Immune Network T-cell-regulated-with Memory (INT-M) is applied to the dog and sheep scenario. Simulation experiments were conducted on the Player/Stage platform and experimental results are presented.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: action selection process;biological immune systems;immune network T-cell-regulated with memory;multi-robot cooperation;multi-robot systems domain;organism health state;player platform;stage platform;cooperative systems;multi-robot systems;
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QR Microbiology > QR180 Immunology
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Dr. Sazalinsyah Razali
Date Deposited: 27 Jul 2012 10:52
Last Modified: 28 May 2015 02:17
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