Description du projet
Une coopération et une capacité d’adaptation inédite entre l’homme et l’IA
Des économies mondiales en période de crise. Un manque de ressources. Des changements soudains et graves comme ceux-ci ont engendré un marché compétitif et dangereux. Dans cet environnement difficile, les entreprises manufacturières doivent adopter des innovations, des stratégies et des idées nouvelles pour s’adapter à ces épisodes de changement. Le projet CONVERGING, financé par l’UE, apportera sa pierre à l’édifice en mettant un système de production adaptable innovant à la disposition de ces entreprises. Ce système aura recours à la cognition fondée sur l’IA, aux mégadonnées, aux jumeaux numériques, à l’intégration en temps réel et à d’autres technologies. Combinées, ces technologies offriront des niveaux de coopération et d’adaptabilité inédits entre les travailleurs humains et les systèmes d’IA. Elles assureront également des contrôles, des évaluations et une surveillance efficaces par l’IA tout au long de la chaîne de production.
Objectif
"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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Champ scientifique
- 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
Mots‑clés
Programme(s)
Régime de financement
HORIZON-IA - HORIZON Innovation ActionsCoordinateur
265 04 Rio Patras
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