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Vision Controlled Humanoid Robot Tool-Kit

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

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Abstract

This paper introduces a novel parallelised vision based intelligent controller for a Humanoid Robot system. This intelligent controller is simulated dynamically and its performance evaluated for a standard benchmark problem. The parallel nature of the simulation architecture which can separate the image processing and control algorithms allows the simulation to progress in real-time or faster than real-time. This allows automated control algorithms using neural network or evolutionary algorithms to be efficiently and effectively developed.

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Author information

Authors and Affiliations

  1. Massey University, Auckland, New Zealand

    Chris Messom

Authors
  1. Chris Messom
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Messom, C. (2004). Vision Controlled Humanoid Robot Tool-Kit. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_34

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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