SciTransfer
MOTIVATE XR · Project

No-Code XR Training and Remote Assistance Platform for Industrial Operations

digitalPilotedTRL 7

Imagine if you could turn a boring technical manual into a 3D video game tutorial without knowing how to code. This system uses AI to read old documents and automatically create virtual training guides. Workers then wear smart glasses to see exactly where a part goes or get help from a remote expert in real-time.

By the numbers
20%
reduction in task completion times
The business problem

What needed solving

Industrial companies face high costs and technical complexity when creating XR training, often relying on expensive non-European software and specialized programmers.

The solution

What was built

An integrated XR suite featuring no-code authoring tools, AI-driven documentation conversion, and the LeonardoXR smart glasses.

Audience

Who needs this

Aerospace maintenance firmsIndustrial manufacturing plantsEnergy grid operatorsAppliance manufacturersHuman-robot collaboration facilities
Business applications

Who can put this to work

Aerospace
enterprise
Target: Aircraft maintenance provider

If you are an aircraft maintenance provider dealing with complex inspection routines — this project developed an XR ecosystem that can reduce task completion times by over 20%.

Home Appliances
mid-size
Target: Consumer electronics manufacturer

If you are a consumer electronics manufacturer dealing with high training costs for assembly lines — this project developed no-code authoring tools that let trainers build scenarios without programming skills.

Energy
enterprise
Target: Electric distribution operator

If you are an electric distribution operator dealing with dangerous field repairs — this project developed the LeonardoXR smart glasses to provide real-time remote assistance and spatial training.

Frequently asked

Quick answers

How does this reduce the cost of creating XR content?

It uses no-code authoring tools and generative AI to automatically transform legacy technical documentation into interactive experiences, removing the need for expensive specialized programmers.

Can this be scaled across different industrial sectors?

Yes, the project is validating the technology through five diverse pilots in aerospace, home appliances, aluminium, energy distribution, and hybrid manufacturing.

What is the IP or licensing model for the software?

Based on available project data, the project aims to create a sovereign European ecosystem to reduce dependence on non-European technology, but specific licensing terms are not listed.

Are there specific regulations or ethical guidelines followed?

The project includes a dedicated framework for ethical and legal governance to manage data privacy and the risk of worker deskilling.

How does the system integrate with existing hardware?

The software is designed to work with advanced hardware, specifically the LeonardoXR smart glasses, for real-time assistance.

Consortium

Who built it

The consortium is heavily industry-driven, with 11 industrial partners representing 61% of the group. With 18 partners across 7 countries, the project balances high-level research (5 academic/research entities) with practical application, including 4 SMEs, ensuring the resulting tools are commercially viable and tailored to European industrial needs.

How to reach the team

Contact MAGGIOLI SPA in Italy

Next steps

Talk to the team behind this work.

Contact us to explore integration of no-code XR tools in your production line.