Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

An Immunology-based Cooperation Approach for Autonomous Robots

Authors
Jianhua Li1, Haili Xu, Sun’an Wang, LeiShi Bai
1College of Environmental Science and Engineering, Ocean University of China
Corresponding Author
Jianhua Li
Available Online October 2007.
DOI
10.2991/iske.2007.42How to use a DOI?
Keywords
autonomous robots; cooperation; artificial immune system
Abstract

Based on the immune response and immune network theory, the main mechanisms of interaction between antibody molecules, an artificial immune agent model and an artificial immune system for multi-autonomous robots system are put forward. By the simulating experiments and physical experiments, it indicates that the presented immune cooperation approach can achieve a self-organizing system that is more robust and flexible in dynamic environment

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.42How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianhua Li
AU  - Haili Xu
AU  - Sun’an Wang
AU  - LeiShi Bai
PY  - 2007/10
DA  - 2007/10
TI  - An Immunology-based Cooperation Approach for Autonomous Robots
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 244
EP  - 249
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.42
DO  - 10.2991/iske.2007.42
ID  - Li2007/10
ER  -