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    CONVERGING
    Social industrial collaborative environments
    integrating AI, Big Data and Robotics for
    smart manufacturing
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STAR about information

The EU-funded CONVERGING project brings together 16 high-profile partners from several EU and Asian countries aiming 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.

Project's Overview

Discover CONVERGING

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 project proposes the development of systems that can:

  • Identify and recognize processes/resources/environment and their status 
  • Analyze the production system status and autonomously formulate a plan of actions using AI
  • Automatically modify h/w and control systems to execute the formulated plans
  • Seamlessly work with humans or other resources establishing a social industrial environment 
  • Expand its capabilities and Openness via an Open Pilot Network 

 

The CONVERGING results will be demonstrated in the following sectors: Automotive, Aircraft Production, White Goods and  Additive Manufacturing products processing sectors.

Project Information

Project Name:

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

Grant Agreement No.: 

101058521 

Topic: 

HORIZON-CL4-2021-TWIN-TRANSITION-01-01 - AI-enhanced robotics systems for smart manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)

Call:

HORIZON-CL4-2021-TWIN-TRANSITION-01

Funding Scheme:

HORIZON-AG - HORIZON Action Grant Budget-Based

Start Date:

1 September 2022 (Duration 48 Months)

 

STAR USE CASES

Human-Robot Collaboration
Human-Robot Collaboration

Human-Cobot Collaboration for Robust Quality Inspections

Secure AI
Secure AI

Human Centred Artificial Intelligence for Agile Manufacturing 4.0

Safety with AI
Safety with AI

Human Behaviour Prediction and Safe Zone Detection for Routing

From our Blog

  • Improving Posture in Human-Robot Collaboration: Enhancing Efficiency and Worker Well-Being
    Improving Posture in Human-Robot Collaboration: Enhancing Efficiency and Worker Well-Being

    Human-Robot Collaboration (HRC) offers the potential to combine human intuition and expertise with robotic strength and precision, revolutionizing workplace efficiency. However, ensuring intuitiveness, safety, and comfort in these interactions is crucial. One significant factor in optimizing HRC is improving worker posture through adaptive robotic movements, which can personalize workstations and enhance both acceptance and productivity.

  • CONVERGING - CU Blog Post
    User-centred design methods: Co-creation and human-centric solutions

    Industry 5.0’s approach to developing new smart-production systems is characterized by user-centric design approaches. User-centred designs centralize the end-user by prioritizing their needs and experience, and this is captured by involving the end-user in different stages of product development. The involvement of end-users in the design process serves two key functions. Firstly, it helps capture end-users’ needs and expectations of the product, alongside factors such as product usability and accessibility.

  • CONVERGING - TFF-C Article
    Transforming Aircraft Maintenance: How the Aeronautics Open Pilot Line (OPL) is Shaping the Future

    Aircraft maintenance is a highly demanding field, especially when it involves challenging environments like the aircraft fuel tank. With its confined spaces and hazardous air quality, ensuring the safety of maintenance personnel is no small task. However, in the face of the aeronautics industry’s ongoing digital transformation, the focus is shifting towards not only improving safety but also enhancing efficiency and equipping the workforce with the necessary skills to navigate these complex environments.

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