Authoring framework for industrial XR digital twin and autonomous agent: a proof of concept

Extended Reality-Interfaced Digital Twins (XR-DTs) can be used in a wide range of industrial applications, including training, simulation, and the design and monitoring of industrial systems. However, interacting with and controlling autonomous agents, whether virtual or real, through XR-DT can be challenging, and existing solutions often address only a certain level of collaboration or limited use cases. To address these limitations, this paper presents a no-code scenario authoring solution for XR-DTs called NEURONES as well as a demonstration scenario.