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COBRA - A generic architecture for robust treatment of uncertain information

dc.contributor.authorBrockmann, Werner
dc.contributor.authorBuschermöhle, Andreas
dc.contributor.authorSchoenke, Jan-Hendrik
dc.contributor.editorHorbach, Matthias
dc.date.accessioned2019-03-07T09:32:18Z
dc.date.available2019-03-07T09:32:18Z
dc.date.issued2013
dc.description.abstractThis paper introduces the COBRA-architecture as an approach to handle uncertainties in autonomous robots and embedded systems in order to increase their robustness. In the COBRA-architecture, the trustworthiness of information is therefor modeled explicitly by meta-signals, called trust signals. At a coarse-grained level, the architecture also extends normal functional modules to a triplet of modules, one containing the normal functionality with handling of deficient information, one containing a fall-back strategy for the case of too insufficient information, and one mitigating between them depending on the respective trustworthiness. The COBRA-architecture incorporates the trust signals also at a fine-grained level into the basic signal processing. As an example the extension of a typical class of continuous functions is presented to achieve more trusty results and to generate also a trust signal for the output. Both basic aspects of the COBRA-architecture are illustrated by the control architecture of the walking robot WALTER.en
dc.identifier.isbn978-3-88579-614-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20692
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-220
dc.titleCOBRA - A generic architecture for robust treatment of uncertain informationen
dc.typeText/Conference Paper
gi.citation.endPage2741
gi.citation.publisherPlaceBonn
gi.citation.startPage2727
gi.conference.date16.-20. September 2013
gi.conference.locationKoblenz
gi.conference.sessiontitleRegular Research Papers

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