Descripción del proyecto
Cooperación y adaptabilidad inigualables entre personas e inteligencia artificial
La crisis de la economía mundial, la escasez de recursos; cambios repentinos y graves como estos han dado lugar a un mercado competitivo y peligroso. En este entorno complejo, las empresas manufactureras deben adoptar innovaciones, estrategias e ideas novedosas para adaptarse a estos tiempos cambiantes. El proyecto CONVERGING, financiado con fondos europeos, ayudará al proporcionar a las empresas un sistema de producción adaptable e innovador. El sistema utilizará cognición basada en inteligencia artificial (IA), datos masivos, gemelos digitales e integración en tiempo real, entre otras tecnologías. En conjunto, estas tecnologías ofrecerán unos niveles sin precedentes de cooperación y adaptabilidad entre los trabajadores y los sistemas de IA. También proporcionará un control, una evaluación y un seguimiento eficaces de la IA en toda la cadena de producción.
Objetivo
"Global economic crises and the COVID19 pandemic have dictated manufacturing firms to rethink their production and business models. Production systems need to adopt both human and automated resources that can work together seamlessly. As a response, CONVERGING aims to Develop, deploy, validate and promote smart and reconfigurable production systems including multiple autonomous agents (collaborative robots, AGVs, humans) that are able to act in diverse production environments. The diversifying factors will be a multi-level AI based cognition (line, station, resource levels) which will exploit the collective perception (Digital Pipeline) of these resources, allowing them to interact with each other and seamlessly coexist with humans under a ""social industrial environment"" that ensures trustful, safe and inclusive user experience
The project proposes the development of systems that can:
1. Perceive: Identify and recognize processes/resources/environment and their status by introducing Big Data, Real Time Integration & Communication Architecture, Digital Twins and Human in the Loop techniques
2. Reason: Analyze the production system status and autonomously formulate plan of actions using AI, Planning and Reconfiguration Algorithms as well as Resource Autonomy solutions
3. Adapt: Automatically modify h/w and control systems to execute the formulated plans through the use of Robotics and Autonomous Systems, Smart Devices and Adaptable Mechatronics
4. Collaborate: Seamlessly work with humans or other resources establishing a social industrial environment which exploits Smart Human Machine Collaboration, User experience assessment and User centric workplace design
5. Innovate: Expand its capabilities and Openness via an Open Pilot Network as well as links to local and international innovation ecosystems
CONVERGING will demonstrate its results in the Automotive, Aircraft Production, White Goods and Additive Manufacturing products processing sectors.
"
Ámbito científico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
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
265 04 Rio Patras
Grecia