Digital Twins: Platforms, Methods, Applications, and Impact

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https://hdl.handle.net/10125/102621

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    Contract-based Digital Twin Synthesis for Autonomous Safety Critical Systems
    ( 2023-01-03) Henkler, Stefan ; Hirsch, Martin
    The development of Digital Twins is a complex process. The complexity increases with the autonomy and networking of the system under consideration. However, progressive scenarios in the area of smart farming or platooning in road traffic in particular require reliable Digital Twins that can consider safety-critical aspects. Previous approaches do not consider this and are also not suitable due to the often manual construction. We present an approach based on a well-defined contract-based engineering that automatically synthesizes the complex interaction with the system under consideration by preserving safety and liveness properties.
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    Towards a Digital Twin of Society
    ( 2023-01-03) Chircu, A ; Czarnecki , Christian ; Friedmann, Daniel ; Pomaskow, Joanna ; Sultanow, Eldar
    This paper describes the potential for developing a digital twin of society - a dynamic model that can be used to observe, analyze, and predict the evolution of various societal aspects. Such a digital twin can help governmental agencies and policy makers in interpreting trends, understanding challenges, and making decisions regarding investments or policies necessary to support societal development and ensure future prosperity. The paper reviews related work regarding the digital twin paradigm and its applications. The paper presents a motivating case study - an analysis of opportunities and challenges faced by the German federal employment agency, Bundesagentur für Arbeit (BA), proposes solutions using digital twins, and describes initial proofs of concept for such solutions.
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    Simple Design Approach for Shared Digital Twins
    ( 2023-01-03) Hasse, Hendrik ; Van Der Valk, Hendrik
    The collaborative utilization of data becomes increasingly important in industry and requires increased consideration of interoperability and data sovereignty aspects. Distributed systems play a decisive role in this context, which allow for a closer communication between the stakeholders involved and are characterized by the shared use of data and devices. At the same time new concepts emerge that enable a structured mapping of data. These include Digital Twins, which primarily allow a holistic digital representation of an entire asset lifecycle. Digital Twins offer significant potential for distributed systems and form a suitable basis for the collaborative utilization of an asset's lifecycle data. Although studies assume an increased use of Digital Twins in cross-company networks, they are still predominantly used as a purely company-internal concept. In the context of this publication, we demonstrate how to get started easily with the design of Digital Twins intended for use in collaborative distributed systems.
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    Introduction to the Minitrack on Digital Twins: Platforms, Methods, Applications, and Impact
    ( 2023-01-03) Rettberg, Achim ; Engels, Gregor ; Schattkowsky, Tim
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    Enhancing Robot Programming through Digital Twin and Augmented Reality
    ( 2023-01-03) Yigitbas, Enes ; Engels, Gregor
    Nowadays, robots are widespread across diverse application contexts. However, robot programming is a cumbersome and error-prone task that requires a high domain and programming expertise. To simplify the process of robot programming, we combine Augmented Reality (AR) with the concept of Digital Twin (DT). By combining them, the robot system can be simulated through a digital equivalent representation while the real environment is extended with useful virtual artifacts. To enable users to work in the robot space, reducing the amount of mentally taxing coordinate space conversions, we have developed the DT- and AR-based robot programming framework, called DART. DART supports users to program a robot through interactive gestures, offers AR in-place program simulation, and direct building of finished programs to the real robot. We evaluated our AR-based programming approach regarding usability compared to a web-based robot programming approach. The evaluation showed that our approach is more usable than the conventional method and has the potential to enrich and ease current robot programming processes.