Results
Isaac Sim Integrated Digital Twin For Feasibility Checks In Skill-based Engineering
Skill-based engineering is an approach to encapsulating the complexity of control software into reusable and parametrisable components. Digital Twin (DT) technologies can be applied to predict the future behavior of the skills, enabling feasibility checks for specific action requests. In this work, we introduce a methodology for combining NVIDIA’s Isaac Sim framework for high-quality DT-based simulations with an interoperable control component integration based on ROS and OPC UA. Furthermore, we demonstrate skill-based robot feasibility checks, which apply physical control (Hardware-in-the-Loop), virtual control (Software-in-the-Loop) as well as combinations of both.
Towards engineering product digital twins for industry 5.0: definition and modeling approach
The vision of Industry 5.0 builds upon the advanced technologies of Industry 4.0, aligning its emerging concepts with three key pillars: human-centricity, sustainability, and resilience. In this context, the idea of the Product Digital Twin (PDT), first introduced in 2002, which has further matured (and refined) by the Asset Administration Shell (AAS) standard, must continue evolving to integrate the vision of Digital Product Passport (DPP) as promoted via several initiatives from the European Commission. Moreover, positioning PDT correctly within this broader context of Industry 5.0 is crucial, as it involves the modeling and implementation of PDT instances, which then significantly influence manufacturing applications. To address this need, this paper first harmonizes different PDT definitions and then proposes a modeling and deployment approach appropriate to the new concept of PDT information models.