Digital Twins to drive Robot-based Disassembly Applications

Abstract

Programming of robots based on the sequencing and execution of high-level function blocks (advanced skills) is a method to increase flexibility, which is necessary to enable applications, such as the dismantling of old appliances or waste from electrical and electronic equipment (WEEE). Such skills are characterized by their capability of acting autonomously depending on the context and situation. This requires the management of model data. Here, we show an application of the Asset Administration Shell (AAS) for making data on static robot models as well as on the dynamic state available to domain-specific software components. The implemented system shows the use of such digital twins for programming and action generation of intelligent robots. We used a bottom-up approach that relies on the integration of already available data representations while adding information necessary for practical use. The system demonstrates a particular sub task of a WEEE disassembly operation.