Imagine a factory where robots aren't just mindless machines, but smart assistants that can learn and adapt to tricky tasks. Instead of rigid assembly lines, these systems use digital twins—like a virtual mirror of the factory—to predict mistakes before they happen. It's like giving a robot a brain and a set of eyes to help humans handle the most difficult and dirty parts of a job safely.
European manufacturers face high costs and waste due to a lack of control over complex, labor-intensive processes. This is worsened by a shortage of high-skilled personnel and strict environmental standards.
A human-centric modular toolbox integrating digital twins, AI machine learning, and cognitive robotics to automate difficult manufacturing steps.
If you are a manufacturer dealing with the precision machining of large parts like wind turbines—this project developed a cognitive robotics toolbox that reduces unpredictable waste and improves processing time.
If you are a producer dealing with the complexities of additive manufacturing for medical implants—this project developed a digital twin and AI control system that increases production flexibility and safety.
If you are a plant manager dealing with labor-intensive, high-temperature metal production—this project developed human-centric collaborative robots that take over dull and dangerous tasks to improve worker welfare.
Based on available project data, specific pricing for the end-user is not provided, as the project is funded by an EU contribution of EUR 9,484,631 for development.
Yes, the project is designed for industrial scale, validating its solutions across four different pilot trials in diverse manufacturing scenarios.
The project includes a comprehensive exploitation strategy that specifically covers IPR management and the replicability of the solutions.
It uses a modular toolbox approach combining sensors, actuators, and AI that can be adapted to substitute various manual manufacturing processes.
The project period runs from 2023-01-01 to 2026-12-31, indicating that full validation and results will be available by the end of 2026.
The consortium is heavily weighted toward industrial application, with a 56% industry ratio comprising 9 industrial partners, including 8 SMEs. This strong commercial presence, combined with 5 research entities across 7 European countries, suggests the project is driven by market needs rather than pure academic curiosity.
Contact NORCE RESEARCH AS in Norway for technical specifications.
Contact SciTransfer to connect with the COGNIMAN consortium for pilot integration.
