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ICANN ’93 pp 293-296 | Cite as

A real-time Robot demonstration controlled by the BSP400 Neurocomputer

  • Jan N. H. Heemskerk
  • Patrick T. W. Hudson
Conference paper

Abstract

An actual implementation of a real-time, neural network controlled, robot car is presented in this paper. The simple car consists of two motors and 4 light sensors. Supervised learning behaviour of the car is achieved by using a neural network with adaptive connections. The car can be taught to avoid obstacles. The controlling neural network is implemented on the BSP400 neurocomputer, a Brain Style Processor with 400 nodes. A subset of the digital nodes in the BSP400 are connected by fixed weights to form logical circuits in order to re-train the car. In this way cooperative computation of both ’logical’ and ’neural’ processes are integrated into one system.

Keywords

Neural Network Sensor Node Learning Rule Light Sensor Modular Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Brooks, R.A. New Approaches to Robotics. Science, 253, 1991, 1227–1232.CrossRefGoogle Scholar
  2. [2]
    Heemskerk, J.N.H., J.M.J. Murre, J. Hoekstra, L.H.J.G. Kemna and P.T.W. Hudson, The BSP400: a modular neurocomputer assembled from 400 low-cost microprocessors. In: Artificial Neural Networks: Proceedings of the International Conference on Artificial Neural Networks (ICANN-91) Espoo Finland, T. Kohonen, K. Mäkisara, O. Simula and J. Kangas (Eds), Elsevier Science Publishers B.V. (North-Holland), 1991, 709–714.Google Scholar
  3. [3]
    Heemskerk, J.N.H. & F.A. Keijzer. A real-time neural implementation of a schema driven toycar. (To be presented at the workshop on’ Schemas and Neural Networks: Integrating Symbolic and Subsymbolic Approaches to Cooperative Computation’, 19–20 October 1993, LA.)Google Scholar
  4. [4]
    Murre, J.M.J. Learning and Categorization in Modular Neural Networks. Hemel Hempstad: Harvester Weatsheaf, and Hillsdale, NJ: Lawrence Erlbaum, 1992.Google Scholar
  5. [5]
    Murre, J.M.J, R.H. Phaf, and G. Wolters, CALM: Categorizing And Learning Module, Neural Networks, 5, 55–82, 1992.CrossRefGoogle Scholar
  6. [6]
    Verschure, P.F.M.J., B.J.A. Kröse & R. Pfeifer. Distributed adaptive control: The selforganization of structured behavior. Robotics and Autonomous Systems, 9, 1992, 181–196.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 1993

Authors and Affiliations

  • Jan N. H. Heemskerk
    • 1
  • Patrick T. W. Hudson
    • 1
  1. 1.Unit of Experimental and Theoretical PsychologyLeiden UniversityLeidenThe Netherlands

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