Brockmann, WernerBuschermöhle, AndreasSchoenke, Jan-HendrikHorbach, Matthias2019-03-072019-03-072013978-3-88579-614-5https://dl.gi.de/handle/20.500.12116/20692This 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.enCOBRA - A generic architecture for robust treatment of uncertain informationText/Conference Paper1617-5468