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Social industrial collaborative environments integrating AI, Big Data and Robotics for smart manufacturing

Project description

DEENESFRITPL

Unmatched Human-AI cooperation and adaptability

Global economies in crisis. Resource scarcity. Sudden and severe changes like these have led to a competitive and dangerous marketplace. In this difficult environment, manufacturing firms must adopt novel innovations, strategies and ideas to adapt to these changing times. The EU-funded CONVERGING project will assist by providing firms with an innovative adaptable production system. This system will utilise AI-based cognition, big data, digital twins and real time integration and other technologies. Together, these technologies will provide unprecedented levels of cooperation and adaptability between human workers and AI systems. This will also provide efficient AI control, assessments, and monitoring throughout the production line.

Objective

"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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Fields of science

Programme(s)

Topic(s)

Call for proposal

HORIZON-CL4-2021-TWIN-TRANSITION-01

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Funding Scheme

HORIZON-AG - HORIZON Action Grant Budget-Based

Coordinator

PANEPISTIMIO PATRON
Net EU contribution
€ 1 354 749,36
Address
University campus rio patras
265 04 Rio patras
Greece

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Region
Κεντρική Ελλάδα Δυτική Ελλάδα Αχαΐα
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00

Participants (13)

Partners (2)

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EC signature date 24 May 2022
Last update: 4 September 2022

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Permalink: https://cordis.europa.eu/project/id/101058521

European Union, 2023