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On adaptive self-organization in artificial robot organisms

Abstract : In Nature, self-organization demonstrates very reliable and scalable collective behavior in a distributed fashion. In collective robotic systems, self-organization makes it possible to address both the problem of adaptation to quickly changing environment and compliance with user-defined target objectives. This paper describes on-going work on artificial self-organization within artificial robot organisms, performed in the framework of the Symbrion and Replicator European projects.
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Contributor : Nicolas Bredeche <>
Submitted on : Thursday, September 3, 2009 - 4:24:21 PM
Last modification on : Thursday, November 5, 2020 - 9:00:05 AM


  • HAL Id : inria-00413281, version 1



Serge Kernbach, Heiko Hamann, Juergen Stradtner, Ronald Thenius, Thomas Schmickl, et al.. On adaptive self-organization in artificial robot organisms. IEEE Adaptive, 2009, Athens, Greece. ⟨inria-00413281⟩



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