Imagine learning to operate a complex industrial robot using a high-tech headset, like a video game, before ever touching the real machine. This system lets teachers create these virtual lessons easily without needing to be computer programmers. It's like having a flight simulator for factory robots that keeps workers safe while they practice.
Manufacturing companies face a critical skills gap in robotics as they transition to Industry 4.0 and 5.0. Training low- and mid-level workers is often slow, expensive, and carries safety risks when using real machinery.
An Open XR platform for creating robotics training content, including AI-driven health and safety tools and a robot programming interface using gaze-based interaction and demonstration techniques.
If you are a parts supplier dealing with high turnover of assembly line staff — this project developed an Open XR platform that reduces the time needed to create training content for robotics. This allows workers to learn robot programming via demonstration in a safe virtual space.
If you are a robotics integrator dealing with clients who lack technical skills — this project developed a robot programming tool using Look-and-Move techniques. This makes it easier for non-experts to set up robotic applications without deep coding knowledge.
If you are a training center dealing with the high cost of physical robotics hardware — this project developed didactic resources and an XR platform for students. This provides immersive, hands-on training without risking expensive equipment.
Based on available project data, the platform is described as an 'Open XR platform', but specific commercial pricing or licensing fees are not mentioned.
The project focuses on training and upskilling for the workforce in manufacturing. It includes two Open Calls to validate the technology with a wide range of end-users to ensure scalability.
Based on available project data, the project provides an Open XR platform and uses Open Calls for third-party contributions, but specific IP ownership terms are not detailed.
The platform integrates robot programming tools using Programming-by-Demonstration (PbD) and Look-and-Move (L&M) techniques to bridge the gap between virtual training and physical execution.
The project period runs from 2023-01-01 to 2026-06-30, with deliverables for the first versions of the platform and tools scheduled throughout this window.
The consortium consists of 7 partners across 3 countries (DE, EL, ES). It features a balanced mix of 2 industry partners, 3 research organizations, 1 university, and 1 other entity, with a 29% industry ratio and 3 SMEs. This structure suggests a strong link between academic research and practical industrial application.
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