Imagine a world where machines talk to each other instantly without any lag, like a perfectly choreographed dance. This project sets up real-world playgrounds to test how the next generation of wireless internet can control robots and track assets in real-time. It's like building a high-tech rehearsal space to make sure these tools work safely before they are used in actual factories or construction sites.
Industrial sectors struggle to move from basic connectivity to high-performance automation due to a lack of real-world testing for 5G/6G features like real-time communication and digital twinning.
A robotic de-construction system with XR interfaces, a set of 5G/6G testbeds for energy and automotive sectors, and AAS instances for asset orchestration.
If you are a demolition firm dealing with dangerous manual site clearing — this project developed a robotic de-construction system that uses XR interfaces to plan and execute tasks. This allows for safer, remote-controlled removal of materials.
If you are a vehicle maker dealing with unreliable remote driving signals — this project developed predictive Quality of Service for tele-operated vehicles. This ensures a stable connection for safer remote steering.
If you are a factory owner dealing with quality defects in machining — this project developed inline quality assurance and workpiece tracking. This reduces waste by catching errors the moment they happen.
Based on available project data, specific pricing or cost structures for the developed solutions are not provided.
Yes, the project uses large scale trials across five testbeds, including four part of the 5G-Industry Campus Europe and one at IDIADA automotive testing grounds.
Based on available project data, specific licensing terms are not mentioned, but results are intended for use in standardization for 6G-SNS projects.
The project period runs from 2023-01-01 to 2025-10-31, indicating a multi-year development and validation cycle.
Yes, the project focuses on developing AAS instances and standardized interactions to realize network and asset orchestration.
The project is heavily industry-driven, with a 67% industry ratio consisting of 10 industrial partners and 5 SMEs. This strong commercial lean is bolstered by a massive ecosystem of 98 entities across 66 third-party projects, ensuring that the technical developments are grounded in actual market needs across six different countries.
Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung
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