Descrizione del progetto
Cooperazione e adattabilità uomo-intelligenza artificiale senza pari
Economie mondiali in crisi. Scarsità delle risorse. Cambiamenti improvvisi e gravi come questi hanno portato a un mercato competitivo e pericoloso, un ambiente difficile che impone alle aziende manifatturiere di adottare innovazioni, strategie e idee nuove per adattarsi ai tempi che cambiano. Il progetto CONVERGING, finanziato dall’UE, fornirà alle aziende un sistema di produzione innovativo e adattabile che utilizzerà l’intelligenza artificiale, i megadati, i gemelli digitali, l’integrazione in tempo reale e altre tecnologie. Insieme, queste tecnologie forniranno livelli di cooperazione e adattabilità senza precedenti tra lavoratori umani e sistemi di IA consentendo inoltre all’intelligenza artificiale di effettuare controlli, valutazioni e monitoraggi efficienti lungo tutta la linea di produzione.
Obiettivo
"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.
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Campo scientifico
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymechanical engineeringmechatronics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- engineering and technologymechanical engineeringmanufacturing engineeringadditive manufacturing
Parole chiave
Programma(i)
Invito a presentare proposte
HORIZON-CL4-2021-TWIN-TRANSITION-01
Vedi altri progetti per questo bandoMeccanismo di finanziamento
HORIZON-IA - HORIZON Innovation ActionsCoordinatore
265 04 Rio Patras
Grecia