Abstract
This paper presents the novel use of the Neural-endocrine architecture for swarm robotic systems. We make use of a number of behaviours to give rise to emergent swarm behaviour to allow a swarm of robots to collaborate in the task of foraging. Results show that the architecture is amenable to such a task, with the swarm being able to successfully complete the required task.
This is a preview of subscription content, log in via an institution to check access.
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
Haykin, S.: Neural Networks - A Comprehensive Foundation. Prentice-Hall, Englewood Cliffs (1999)
Neal, M., Timmis, J.: Timidity: A useful emotional mechanism for robot control? Informatica 27(2), 197–204 (2003)
Neal, M., Timmis, J.: Once more unto the breach: Towards artificial homeostasis? In: Recent Developments in Biologically Inspired Computing, pp. 340–365. Idea Group, USA (2005), http://www.cs.kent.ac.uk/pubs/2005/1948
Player: The Player Project (2009) http://playerstage.sourceforge.net (accessed: April 23, 2009)
Şahin, E., Winfield, A.: Special issues on swarm robotics. Swarm Intelligence 2(2-4), 69–72 (2008)
Timmis, J., Neal, M., Thorniley, J.: An adaptive neuro-endocrine system for robotic systems. In: IEEE Workshop on Robotic Intelligence in Informationally Structured Space. Part of IEEE Workshops on Computational Intelligence, pp. 129–136 (2009)
Vargas, P., Moioli, R., de Castro, L.N., Timmis, J., Neal, M., Von Zuben, F.: Artificial homeostatic system: A novel approach. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds.) ECAL 2005. LNCS (LNAI), vol. 3630, pp. 293–306. Springer, Heidelberg (2005)
Walker, J., Wilson, M.: A performance sensitive hormone-inspired system for task distribution amongst evolving robots. In: Proceedings of IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems (2008)
Winfield, A.F., Nembrini, J.: Safety in numbers: Fault tolerance in robot swarms. International Journal of Modelling, Identification and Control 1(1), 3–37 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Timmis, J., Murray, L., Neal, M. (2010). A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems. In: González, J.R., Pelta, D.A., Cruz, C., Terrazas, G., Krasnogor, N. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Studies in Computational Intelligence, vol 284. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12538-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-12538-6_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12537-9
Online ISBN: 978-3-642-12538-6
eBook Packages: EngineeringEngineering (R0)