Abstract
Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process is then experimentally investigated. A more interesting research question is how can robot be provided with an architecture that would enable it to developmentally ‘grow-up’ and accomplish complex tasks by building on basic built-in capabilities. Previous work by the authors defined the requirements of a robot architecture that would enable this to happen – in this paper, we describe how some components of such an architecture can be achieved using an immune network model, and present preliminary results that show the plausibility of the suggested approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anonymous for reviewing purposes. Requirements for getting a robot to grow-up. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds.) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 847–856. Springer, Heidelberg (2003)
Drescher, G.: Made-Up Minds: A Constructivist Approach to Artificial Intelligence. MIT Press, Cambridge (1991)
Farmer, J.D., Packard, N., Perelson, A.: The immune system, adaption and machine learning. Physica D 22, 187–204 (1986)
Ishiguro, A., Kondo, T., Watanabe, Y., Shirai, Y., Uchikawa, H.: Immunoid: a robot with a decentralized consensus-making mechanism based on the immune system. In: Proceedings of ICMAS Workshop on Immunity-based Systems, pp. 82–92 (1996)
Ishiguro, A., Kuboshiki, S., Ichikawa, S., Uchikawa, Y.: Gait-control of hexapod walking robots using mutual coupled immune networks. Advanced Robotics 10(2), 179–196 (1996)
IST-2000-29225. Systemic intelligence for growing up artefacts that live, http://www.ist-signal.org
Jerne, N.K.: The immune system. Scientific American 229(1), 52–60 (1973)
Lanzi, P.L.: An analysis of the memory mechanism of XCSM. In: Genetic Programming 1998: Proceedings of the Third Annual Conference, pp. 643–665. Morgan Kaufman, San Francisco (1998)
Lee, D., Jun, H., Sim, K.: Artifical immune system for realisation of cooperative strategies and group behaviour in collective autonomous mobile robots. In: Proceedings of Fourth Internation Symposium on Artifical Life and Robotics, pp. 232–235 (1999)
Michelan, R., von Zuben, F.J.: Decentralized control system for autonomous navigation based on an evolved artificial immune system. In: Giles, C.L., et al. (eds.) Proceedings of CEC 2002, pp. 1021–1026. IEEE Press, Los Alamitos (2002)
Piaget, J.: The Origins of Intelligence in Children, Norton, N.Y (1952)
Prem, E., Poelz, P.: Concept acquistion using isomap on sensorimotor experiences of a mobile robot. In: Proceedings of International Workshop on Epigenetic Robotics, Boston (August 2003) (to appear)
Singh, S., Thayer, S.: Immunology directed methods for distributed robotics: A novel, immunity-based architecture for robust control and coordination. In: Proceedings of SPIE: Mobile Robots XVI, November 2001, vol. 4573 (2001)
Singh, S., Thayer, S.: A foundation for kilorobotic exploration. In: Proceedings of the Congress on Evolutionary Computation at the 2002 IEEE World Congress on Computational Intelligence (May 2002)
Singh, S., Thayer, S.: Kilorobot search and rescue using an immunologically inspired approach. In: Distributed Autonomous Robotic Systems, June 2002, vol. 5, Springer, Heidelberg (2002)
Timmis, J., Neal, M.: A resource limited artificial immune system for data analysis. Knowledge Based Systems 14(3-4), 121–130 (2001)
Watanabe, Y., Ishiguro, A., Shiraio, Y., Uchikawa, Y.: Emergent construction of behaviour arbitration mechanism based on the immune system. Advanced Robotics 12(3), 227–242 (1998)
Webb, A., Hart, E., Ross, P., Lawson, A.: Controlling a simulated khepera with an xcs classifier system. In: Proceedings of 7th European Conference on A-Life, Springer, Heidelberg (2003) (to appear)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hart, E., Ross, P., Webb, A., Lawson, A. (2003). A Role for Immunology in “Next Generation” Robot Controllers. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-45192-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40766-9
Online ISBN: 978-3-540-45192-1
eBook Packages: Springer Book Archive