Project description
Using XR technologies for training to enable robot adoption in manufacturing
The transition to Industry 4.0 required the adoption of new robotic and automation tools in its processes. The adoption of such tools requires that workers understand how to use and take advantage of them. Additionally, extended reality (XR) technologies have reached sufficient maturity to enter the domain of industrial applications and, among other things, support the training of operators. The EU-funded MASTER project will use XR tools to address the education challenges and create new training material to help operators learn and adapt to the new automation tools, boosting the XR ecosystem's capacity for training in robotics in manufacturing. The project will launch two Open Calls; the first will provide the XR platform with the necessary training tools and features to be enhanced by selected companies, while the second will test first-hand the platform and tools by creating training material.
Objective
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:
The first one aims to provide the platform with additional technologies and functionalities. The selected companies will have the opportunity to integrate their technology in the platform and test it with a wide range of end-users.
The second Open Call is aimed at the education sector, by offering the possibility to test first-hand the platform and tools to create their own content.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
- engineering and technologymechanical engineeringmanufacturing engineering
- social scienceseconomics and businessbusiness and managementinnovation management
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencessoftwaresoftware applicationsvirtual reality
- social scienceseducational sciencespedagogyactive learning
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
265 04 Rio Patras
Greece