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Developing Self-Organizing Robotic Cells using Organic Computing Principles

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

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.
Yan Meng and Yaochu Jin (Ed.): Bio-Inspired Self-Organizing Robotic Systems, Studies in Computational Intelligence, Volume 355, Springer-Verlag, Berlin/Heidelberg


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