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Visual guidance of mobile robots using a neural network
Halmstad University, School of Business and Engineering (SET).
Halmstad University, School of Business and Engineering (SET).
1998 (English)In: Mechatronics '98, Oxford: Pergamon Press, 1998, p. 427-431Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a self-learning method for low-level navigation for autonomous mobile robots, based on a neural network. Both corridor following and obstacle avoidance in indoor environments are successfully managed by the same network. Raw gray scale images of size 32 by 23 pixels are processed one by one by a feed forward neural network. The output signals of the network represent the appropriate steering actions of the robot.

Place, publisher, year, edition, pages
Oxford: Pergamon Press, 1998. p. 427-431
Keywords [en]
Automation and Control Systems, Computer Science, Cybernetics, Computer Science, Interdisciplinary Applications, Engineering, Manufacturing, Engineering, Mechanical
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-18800DOI: 10.1016/B978-008043339-4/50069-9ISI: 000081130500069ISBN: 0-08-043339-1 OAI: oai:DiVA.org:hh-18800DiVA, id: diva2:544970
Conference
the 6th UK Mechatronics Forum International Conference, Skövde, Sweden, 9-11 September 1998
Available from: 2012-08-17 Created: 2012-06-25 Last updated: 2012-08-17Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf