Autor: Michael Hillebrand

Applications such as mobile or industrial robotics gain increasing autonomous capabilities. Autonomous systems can adapt dynamically to user goals, perceive the environment and solve complex tasks without human intervention. During operation, unsafe system states may occur in a priori unknown scenarios, which can lead to an impairment or a safety risk. Self-healing is an inherent and necessary property of these systems. In this article, we present an architecture of self-healing systems. Using the example of an autonomous mobile robot, we present the results and possible application in a smart factory.

Space robotics is characterized by its complexity. However validation on real prototype is costly and under real environmental conditions also limited. Thus the continuous virtual commission is crucial. This article describes a new approach for an integrated system- and test specification that fulfils the current ECSS standards and enables an early verification and validation of the system under development. This approach was validated on several space robotics applications but is not limited to this field and can be applied to other areas such as autonomous driving or automation.