View source for MOTIVATE XR

=== MOTIVATE XR Project === 
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! CORDIS Reference !! Start date !! End date !! Coordinator
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| https://cordis.europa.eu/project/id/101135963 || 01/06/2024 || 31/05/2027 || MAGGIOLI SPA / Italy
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=== Project description ===
XR has the potential to revolutionize various industrial sectors by offering more engaging, secure, and inclusive training and assistance for complex tasks thus enabling more people to acquire the skills required to perform such tasks. However, the creation of such XR experiences is still overly complex, time consuming, and expensive thus blocking their wide adoption in industrial sectors that do not have the necessary expertise nor the resources to create and deploy them.The main objective of MOTIVATE XR is to create a world’s leading XR collaborative authoring, publishing, and experiencing tool suite for training and assistance to industrial operations such as the assembly, manufacturing, maintenance, and dismantlement, of industrial goods. This ground-breaking, open, tightly integrated, and highly interoperable solution will be designed for, and usable by a wide range of users without programming skills, from the largest European industrials to handywomen/handymen, without requiring software development skills. It will offer an end-to-end solution to streamline the whole authoring and experiencing workflow thanks to novel portable 3D scanning and digital twin modelling solutions, No-Code authoring approaches and ground-breaking XR experiencing tools, including a next-gen European XR smart headset, all assisted by the latest advances in Artificial Intelligence (AI). It will then evaluate its result in five complementary and ambitious pilots in different industrial sectors including aerospace, home appliance, aluminium, electric distribution, and hybrid human-robot industries. For this purpose, our project will involve a complementary group of the best-in-class European experts and leading industries adopting a user-centric methodology coordinated by an SSH expert to ensure proper consideration of societal, ethical, and legal issues and ethical use of XR and AI technologies.

=== Project outputs ===
==== Publications ====
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! Domain !! Type of output !! Title !! DOI URL
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| Computer Vision, 3D Modeling & Rendering || Peer reviewed articles || Monocular RGB 6D object pose estimation for augmented reality: a survey || https://doi.org/10.1007/S10055-026-01315-4
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