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Developing Self-Organizing Robotic Cells Using Organic Computing Principles

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Bio-Inspired Self-Organizing Robotic Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 355))

Abstract

Nowadays industrial robotics applications, which are often designed and planned with a huge amount of effort, have a fixed behavior during runtime and cannot react to changes in their environment. Failures can hardly be compensated and often can only be repaired by human involvement. The idea of Organic Computing is to enable systems to possess life-like properties, such as self-organizing or self-healing. In this chapter we present a layered architecture to bring these two worlds together. Further it is discussed what are the requirements of the respective layers to allow to engineer self-x properties into such systems. The presented approach allows for developing self-organizing robotic applications that are able to take advantage of Organic Computing principles and therefore are more robust and flexible during runtime.

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Author information

Authors and Affiliations

  1. Institute for Software & Systems Engineering, University of Augsburg, 86135, Augsburg, Germany

    Alwin Hoffmann, Florian Nafz, Andreas Schierl, Hella Seebach & Wolfgang Reif

Authors
  1. Alwin Hoffmann
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  2. Florian Nafz
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  3. Andreas Schierl
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  4. Hella Seebach
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  5. Wolfgang Reif
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Castle Point on Hudson, 07030, Hoboken, NJ, USA

    Yan Meng

  2. Department of Computing, University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Yaochu Jin

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Hoffmann, A., Nafz, F., Schierl, A., Seebach, H., Reif, W. (2011). Developing Self-Organizing Robotic Cells Using Organic Computing Principles. In: Meng, Y., Jin, Y. (eds) Bio-Inspired Self-Organizing Robotic Systems. Studies in Computational Intelligence, vol 355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20760-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-20760-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20759-4

  • Online ISBN: 978-3-642-20760-0

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