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Dr.-Ing.
Schneider, Daniel
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PublicationPlug-and-Produce... Safely!( 2022)
;Huck, Tom P. ;Ledermann, Christoph ;Schlosser, Patrick ;Schmidt, AndreasTo enable resilient, innovative, and sustainable industrialization, adopting the Industry 4.0 (I4.0) paradigm is essential, as it enables distributed, reconfigurable production environments. Fast reconfiguration, and hence flexibility, is further achieved by employing human-robot-collaborations - but this poses challenges with respect to human worker safety that currently assumes only static systems. While industrial practice is moving towards service-oriented approaches for the nominal function (producing goods), the safety assurance process is not yet ready for this new world that demands continuous, collaborative, on-demand assurance [21]. In this paper, we present an end-to-end model-based safety assurance lifecycle (using Conditional Safety Certificates [30]) to bring the assurance process closer to the demands of I4.0 and overcome this paradigm mismatch. We give details on the different steps of our approach and provide a worked example for an industrial human-robot-collaboration use case. -
PublicationPredictive Runtime Simulation for Building Trust in Cooperative Autonomous Systems( 2019)
;Alzughbi, HannaFuture autonomous systems will also be cooperative systems. They will interact with each other, with traffic infrastructure, with cloud services and with other systems. In such an open ecosystem trust is of fundamental importance, because cooperation between systems is key for many innovation applications and services. Without an adequate notion of trust, as well as means to maintain and use it, the full potential of autonomous systems thus cannot be unlocked. In this paper, we discuss what constitutes trust in autonomous cooperative systems and sketch out a corresponding multifaceted notion of trust. We then go on to discuss a predictive runtime simulation approach as a building block for trust and elaborate on means to secure this approach.