ORCA: An Organic Robot Control Architecture

Werner Brockmann, Erik Maehle, Nils Rosemann, Bojan Jakimovski, Karl Erwin Großpietsch


Mastering complexity is one of the greatest challenges for future dependable information processing systems. Traditional fault tolerance techniques relying on explicit fault models seem to be not sufficient to meet this challenge. During their evolution living organisms have, however, developed very effective and efficient mechanisms like the autonomic nervous system or the immune system to make them adaptive and self-organising. Thus, they are able to cope with anomalies, faults or new unforeseen situations in a safe way. Inspired by these organic principles the control architecture ORCA (Organic Robot Control Architecture) was developed. Its aim is to transfer self-x properties from organic to robotic systems. It is described in this article with a specific focus on the way ORCA deals with dynamically changing uncertainties and anomalies.
Original languageEnglish
Title of host publicationOrganic Computing --- A Paradigm Shift for Complex Systems
EditorsChristian Müller-Schloer, Hartmut Schmeck, Theo Ungerer
Number of pages14
Place of PublicationBasel
PublisherSpringer Basel
Publication date2011
ISBN (Print)978-3-0348-0129-4
ISBN (Electronic)978-3-0348-0130-0
Publication statusPublished - 2011


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