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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.

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

  • LMS is advancing human-robot interaction using AI – a large language model (LLM) approach
    LMS is advancing human-robot interaction using AI – a large language model (LLM) approach

    Human-Robot Interaction (HRI) plays a crucial role in enabling seamless collaboration between humans and robots, leading to increased productivity, efficiency, and safety in production processes. Robots equipped with advanced sensing capabilities can work alongside humans, performing repetitive and physically demanding tasks, while humans focus on more complex and strategic aspects of production.

  • CONVERGING: Flexible Robot Planning for Human-Robot Interaction
    Flexible Robot Planning for Human-Robot Interaction

    To improve industrial acceptance, HRI systems need to improve the speed and robustness they realize without compromising on safety. The robustness of HRI cells can be reduced when safety or protective stops are triggered, which can also give delays which make integration to an assembly line difficult. Methods that improve the robot's ability to avoid contact situations - by changing the trajectory or task sequence - can help reduce the frequency of safety events, improving productivity.

  • Bridging the Skills Gap for Successful Human-Robot Collaboration in Industry 4.0: A Literature Review and Expert Validation Study
    Bridging the Skills Gap for Successful Human-Robot Collaboration in Industry 4.0: A Literature Review and Expert Validation Study

    Industry 4.0 is characterized by the wave of digital technologies being implemented in industry, such as big data, artificial intelligence, virtual and augmented reality, and collaborative robots.

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