Project description
Human-centric digital cognitive industry for smart manufacturing
Manufacturing processes requiring high precision or high levels of human-robot collaboration are difficult to automate, generating low levels of safety, effectiveness and sustainability in addition to being labour-intensive and increasing costs. The EU-funded COGNIMAN project will provide the means to facilitate flexible, resilient, reconfigurable, safe, sustainable and efficient smart manufacturing. To that end, it will integrate simulation, digital twins, AI, data processing and analytics, robotics and autonomous systems in a human-centric modular toolbox that can be easily adapted to new, varying manufacturing processes and environments. Project work aims to boost the European manufacturing sector's competitiveness in global markets and reduce the environmental footprint of manufacturing activities.
Objective
Glass fibre production, precision machining of large parts (e.g. wind turbines), additive manufacturing of medical implants and high-temperature metal production are manufacturing examples with processes that are difficult to automate. The main reasons for the actual labour intensive efforts in these scenarios are lack of full understanding and control over the individual manufacturing steps and the high complexity of the tasks. This has severe impacts on sustainable growth, manufacturing productivity, efficiency and flexibility due to the large amount of unpredictive waste in production and processing time. COGNIMAN is devoted to improving these situations by developing and demonstrating a novel concept of ?digital cognitive smart manufacturing? that will shift the future design of manufacturing processes towards autonomous and predictive manufacturing with improved flexibility, safety and efficiency. This initiative will provide the means to facilitate flexible, resilient, reconfigurable, safe, sustainable, and efficient smart manufacturing by integrating key technologies. They include simulations, digital twins, advanced sensors, machine learning toolbox and cognitive robotics integrated in human-centric modular toolboxes that can be easily adapted to substitute varying manual manufacturing processes. By tackling significant challCOGNIMAN will provide the means to facilitate flexible, resilient, reconfigurable, safe, sustainable, and efficient smart manufacturing by integrating simulation, models, digital twins, sensors, Artificial Intelligence (Machine Learning), data processing and analytics, robotics, and autonomous systems in a human-centric modular toolbox that can be easily adapted to new manufacturing processes and environments with the ultimate objective of boosting the European technology and manufacturing sectors competitiveness towards industrial leadership in global markets, as well as to reduce the environmental footprint of manufacturing activities.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticscognitive robots
- engineering and technologymechanical engineeringmanufacturing engineeringsubtractive manufacturing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
5838 Bergen
Norway