Abstract
In recent years researchers in the Department of Cybernetics have been developing simple mobile robots capable of exploring their environment on the basis of the information obtained from a few simple sensors. These robots are used as the test bed for exploring various behaviours of single and multiple organisms: the work is inspired by considerations of natural systems. That part of the work which involves neural networks and related techniques is discussed. These neural networks are used both to process the sensor information and to develop the strategy used to control the robot. Here the robots, their sensors, and the neural networks used are all described.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
R.J. Mitchell, D.A. Keating and C. Kambhampati, Learning System for a Simple Robot Insect, Proc. Control ‘94, pp: 492–497, 1995
К. Narendra and M.A.L. Thathaehar, Learning Automata: an introduction, Prentice-Hall, 1989.
J.J. Hopfield, Neural Networks and physical systems with emergent collective properties. Proc. Nat.Aead.Sci., USA 79. 2554–8, 1992
D.E. Hebb, The Organisation of Behavour, Wiley, 1949.
R.J. Mitchell, D.A. Keating and C. Kambhampati, Neural Network Controller for Mobile Robot Insect, Proc. EURISCON ‘94, pp: 78–85, 1994.
I.Aleksander and T.J.Stonham, Guide to pattern recognition using random- access memories, IEE proceedings pt E, 2, 1, pp29–40, 1979.
I.Aleksander and M.J.D Wilson, Adaptive windows for image processing, IEE proceedings pt E, 132, 5, pp233–245, 1985.
J.M.Bishop, P.R.Minchinton and R.J.Mitchell, Real Time Invariant Grey Level Image Processing Using Digital Neural Networks, Proc IMechE Conf. EuroTech Direct ‘91, pp: 187–199, 1991.
R.J.Mitchell, J.M.Bishop, S.K.Box and J.F.Hawker, Comparison of methods for processing ‘grey’ level data in weightless networks, Proc Weightless Neural Network Workshop 1995, pp76–81, Univ. of Kent, 1995.
P.J.Gullan and P.S.Cranston, The Insects: An Ouline of Entomology, Chapman and Hall, 1994.
H.J.Bremermann and R.W.Anderson, An alternative to Back-Propagation: a simple rule for synaptic modification for neural net training and memory, Internal Report, Dept of Maths, Uni of California, Berkeley, 1989.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag London Limited
About this chapter
Cite this chapter
Mitchell, R.J., Keating, D.A. (1998). Neural Network Control of a Simple Mobile Robot. In: Landau, L.J., Taylor, J.G. (eds) Concepts for Neural Networks. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3427-5_4
Download citation
DOI: https://doi.org/10.1007/978-1-4471-3427-5_4
Publisher Name: Springer, London
Print ISBN: 978-3-540-76163-1
Online ISBN: 978-1-4471-3427-5
eBook Packages: Springer Book Archive