eXtended Reality Learning

XR2Learn will deliver the XR2Learn platform around which it establishes a cross-border innovation community for XR in learning, bringing XR technology providers, application designers, education experts, application developers, end-users and decision makers in direct access to communicate, collaborate and matchmake interests enabling also bottom up innovation creation. XR2Learn will go beyond offering sound technical and business support for the creation of XR applications for education: XR2Learn will provide access to authoring tools for development of applications through its platform, deliver tools for emotion/affect detection and for automated adaptation of the learning experience to the user needs and emotions, deliver guidance relevant to educational design and use case definition, provide opportunities for piloting and user testing mediated by the large networks brought by XR2Learn partners, promote tools that enable and boost the re-use and sharing of the learning materials/XR applications, offer business development support and additionally, support IPR management through NFTs enabling novel business model implementation. XR2Learn will support innovators (ICT-SMEs) all the way from ideation to commercialisation offering them tailored business and technical support as well as direct funding through FSTPs.

Many industries are transitioning to I4.0 production models by adopting robots in their processes. In parallel, XR technologies have reached sufficient maturity to also enter the domain of industrial applications, with early success cases often related to the training of workers, remote assistance, access to contextual information and interaction with digital twins. This project looks at the intersection of both technologies: robots and XR. The use of robots in industry will be increasingly enhanced with XR applications, and workers must be able to understand both technologies and use hybrid solutions confidently. Achieving this is a challenge that education and training programs must meet.
The objective of MASTER is to boost the XR ecosystem for teaching and training of robotics in manufacturing by providing an Open XR platform that integrates key functionalities for creating safe robotic environments, programming flexible robotic applications (programming by demonstration in flexible robotic application development) and integrating advanced interaction mechanisms (innovation in gaze-based interaction). MASTER will also deliver rich training content on robotics.
MASTER proposes integrating third party contributions through two Open Calls: