Projektbeschreibung
Unerreichte Mensch-KI-Kooperation samt Anpassungsfähigkeit
Globale Volkswirtschaften in der Krise. Ressourcenknappheit. Plötzliche und gravierende Veränderungen wie diese haben einen wettbewerbsintensiven und gefährlichen Markt geschaffen. In diesem schwierigen Umfeld müssen die Unternehmen der verarbeitenden Industrie zur Anpassung an diese veränderten Bedingungen neue Innovationen, Strategien und Ideen entwickeln. Das EU-finanzierte Projekt CONVERGING wird dazu beitragen, indem es den Unternehmen ein innovatives, anpassungsfähiges Produktionssystem bereitstellt. Dieses System wird auf künstlicher Intelligenz (KI) basierte Kognition, Big Data, digitale Zwillinge, Echtzeitintegration und andere Technologien nutzen. Zusammen werden diese Technologien ein noch nie dagewesenes Maß an Zusammenarbeit und Anpassungsfähigkeit zwischen menschlichen Arbeitskräften und KI-Systemen bieten. So ist ebenfalls eine effiziente Kontrolle, Bewertung und Überwachung der gesamten Produktionslinie mithilfe von KI möglich.
Ziel
"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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Wissenschaftliches Gebiet
- 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
Schlüsselbegriffe
Programm/Programme
Aufforderung zur Vorschlagseinreichung
HORIZON-CL4-2021-TWIN-TRANSITION-01
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
HORIZON-IA - HORIZON Innovation ActionsKoordinator
265 04 Rio Patras
Griechenland