Descripción del proyecto
Industria cognitiva digital centrada en el ser humano para una fabricación inteligente
Los procesos de fabricación que requieren gran precisión o altos niveles de colaboración entre personas y robots son difíciles de automatizar, ya que generan bajos niveles de seguridad, eficacia y sostenibilidad, además de requerir mucha mano de obra y aumentar los costes. El equipo del proyecto COGNIMAN, financiado con fondos europeos, proporcionará los medios para facilitar una fabricación inteligente flexible, resiliente, reconfigurable, segura, sostenible y eficiente. Para ello, integrará simulación, gemelos digitales, inteligencia artificial, procesamiento y análisis de datos, robótica y sistemas autónomos en un conjunto de herramientas modular centrado en el ser humano que pueda adaptarse fácilmente a nuevos procesos y entornos de fabricación variables. El objetivo del proyecto es impulsar la competitividad de la industria manufacturera europea en los mercados mundiales y reducir la huella ambiental de las actividades de fabricación.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2021-TWIN-TRANSITION-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-IA - HORIZON Innovation ActionsCoordinador
5838 Bergen
Noruega