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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.

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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 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)

Safety Assessment and Monitoring

/ 02 Apr 24

In the face of escalating competition in the manufacturing sector, it is important to acknowledge the significance of deriving valuable insights from real-time data for process optimization, efficiency augmentation, and safety assurance. By examining data amassed from various sources such as sensors, machines, and production lines, it is possible to attain a comprehensive view of operations and pinpoint areas that require enhancement.
Driving Manufacturing Excellence: Electrolux's Vision and Strategy

/ 04 Mar 24

Electrolux's vision is to consistently produce high-quality products efficiently, moving closer to consumers and scaling with speed. Manufacturing performance is linked to efficiency and the aim is to implement a manufacturing excellence approach in all Company factories.
LMS is advancing human-robot interaction using AI – a large language model (LLM) approach

/ 20 Nov 23

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.