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Innovations in Swarm Intelligence pp 175–214Cite as

Modelling Nanorobot Control Using Swarm Intelligence: A Pilot Study

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 248))

Abstract

Advances in the development of nanotechnology gradually bring the field into its next generation involving systems of nanosystems. These bring about opportunities for computer science researchers to contribute their work as guidelines for the realisation and development of nanorobot systems in the near future. It is anticipated that an early version of future nanorobots may potentially contain only essential characteristics and exhibit only simple behaviours. It is similar to social insects in nature; collaborative behaviour among such simple individual exhibits a remarkable degree of intelligence. Hence, swarm intelligence techniques inspired by social insects could potentially be applied for nanorobot control mechanism in self-assembly. This study models an early version of future nanorobots and a control mechanism using swarm intelligence, especially PPSO (the modification of PSO for physical applications), for self-assembly and self-repair to examine the minimal characteristics and functionality for future nanorobots.

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Author information

Authors and Affiliations

  1. Biological Engineering Programme, King Mongkut’s University of Technology Thonburi, Thailand

    Boonserm Kaewkamnerdpong

  2. Department of Computer Science, University College London, UK

    Peter J. Bentley

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  1. Boonserm Kaewkamnerdpong
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  2. Peter J. Bentley
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Editor information

Editors and Affiliations

  1. University of South Australia, Adelaide, Australia

    Chee Peng Lim  & Lakhmi C. Jain  & 

  2. Soft Computing Laboratory, Department of computer Science, Yonsei University, 120-749, Seoul, Korea

    Satchidananda Dehuri

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© 2009 Springer-Verlag Berlin Heidelberg

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Kaewkamnerdpong, B., Bentley, P.J. (2009). Modelling Nanorobot Control Using Swarm Intelligence: A Pilot Study. In: Lim, C.P., Jain, L.C., Dehuri, S. (eds) Innovations in Swarm Intelligence. Studies in Computational Intelligence, vol 248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04225-6_10

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  • DOI: https://doi.org/10.1007/978-3-642-04225-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04224-9

  • Online ISBN: 978-3-642-04225-6

  • eBook Packages: EngineeringEngineering (R0)

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