[X-DE-MAN]: Get to know the #OC2

Huge congratulations to the X-DE-MAN team and partners (@MORE, @UNIPR) for this impressive proposal and the clarity of vision behind it.

De-manufacturing training is, in my opinion, one of the most relevant and under-explored use cases for XR today. It sits exactly at the intersection of industrial know-how, human-centric design, safety, and circular economy. Training operators not only to assemble, but to disassemble responsibly, safely, and efficiently is a key enabler for sustainable industry—and XR is uniquely suited for that mission.

What really stands out in X-DE-MAN is the way immersive training, real-time guidance, and competency-based learning are combined into a coherent operational workflow, not just a “nice VR demo”. Allowing operators to rehearse complex disassembly tasks in a risk-free environment, then supporting them on the shop floor with contextual guidance, is exactly how XR creates tangible value for Industry 5.0.

It’s also great to see such a strong and well-used foundation with the enabler INTERACT. For those who may not know it, INTERACT is a physics-based XR simulation and training platform designed to create realistic, interactive industrial scenarios. Using INTERACT for de-manufacturing training makes perfect sense: realism matters when teaching how components behave, how forces apply, how errors happen—and how to avoid them.

Bravo to the whole team for the vision, execution, and ambition
Looking forward to following X-DE-MAN’s journey from TRL5 to real-world deployment—and to seeing more de-manufacturing and circular economy use cases powered by XR.

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Participatng in the X-DE-MAN academic validation was a very fascinating experience. Altough it was my first time approaching virtual reality (VR), the tools were easy to use and the instructions clear. Also, I deem noteworthy the possibility to keep on glasses during the simulation, as it allowed me to properly see what I was doing.
I think this project has great potential in helping to learn specific disassembly tasks faster, compared to traditional memorizing methods.

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