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Computing with Instinct pp 1–15Cite as

Experiments with an In-Vitro Robot Brain

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5897))

Abstract

The controlling mechanism of a typical mobile robot is usually a computer system either remotely positioned or in-body. Recent research is on-going in which biological neurons are grown and trained to act as the brain of an interactive real-world robot – thereby acting as instinctive computing elements. Studying such a system provides insights into the operation of biological neural structures; therefore, such research has immediate medical implications as well as enormous potential in computing and robotics. A system involving closed-loop control of a mobile robot by a culture of neurons has been created. This article provides an overview of the problem area, gives an idea of the breadth of present ongoing research, details our own system architecture and, in particular, reports on the results of experiments with real-life robots. The authors see this as a new form of artificial intelligence.

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Author information

Authors and Affiliations

  1. School of Systems Engineering, University of Reading, UK

    Kevin Warwick, Slawomir J. Nasuto & Victor M. Becerra

  2. School of Chemistry, Food Biosciences and Pharmacy, University of Reading, UK

    Benjamin J. Whalley

Authors
  1. Kevin Warwick
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  2. Slawomir J. Nasuto
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  3. Victor M. Becerra
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  4. Benjamin J. Whalley
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Editor information

Editors and Affiliations

  1. Ambient Intelligence Lab, CIC-2218, Carnegie Mellon University, 4720 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Yang Cai

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© 2011 Springer-Verlag Berlin Heidelberg

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Warwick, K., Nasuto, S.J., Becerra, V.M., Whalley, B.J. (2011). Experiments with an In-Vitro Robot Brain. In: Cai, Y. (eds) Computing with Instinct. Lecture Notes in Computer Science(), vol 5897. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19757-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-19757-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19756-7

  • Online ISBN: 978-3-642-19757-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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