PROXIMA

Proximity Machinery through Distributed Augmented Reality HMI Layers for Empowering Industrial operators in Low Resources Scenarios

Abstract

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.

Project details

Unibo Team Leader: Michele Zannoni

Unibo involved Department/s:
Dipartimento di Architettura
Dipartimento di Ingegneria Industriale

Coordinator:
Bsd S.R.L.(Italy)

Other Participants:
PROTESA S.p.A. (Italy)
ALMA MATER STUDIORUM - Università di Bologna (Italy)

Total Eu Contribution: Euro (EUR) 290.000,00
Project Duration in months: 12
Start Date: 01/01/2024
End Date: 31/12/2024

Cordis webpage
Project website

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101092851 This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101092851