Manufacturing companies are under growing pressure to design, test, and adapt production systems faster, while ensuring that people, robots, and machines can work together safely and efficiently. Within the CONVERGING project, Visual Components developed the AI Digital Twin (AIDT) module to support this transition through intelligent virtual representations of manufacturing 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:
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)
Human-Robot Collaboration
Human-Cobot Collaboration for Robust Quality Inspections
Secure AI
Human Centred Artificial Intelligence for Agile Manufacturing 4.0
Safety with AI
Human Behaviour Prediction and Safe Zone Detection for Routing
Smart manufacturing is no longer about isolated robots, sensors, or automation cells. The key challenge is real-time coordination across people, robots, tasks, safety events, and shopfloor data within connected cyber-physical production systems.
Surface treatment operations, such as polishing, painting, coating and others, play a critical role in manufacturing quality and product performance.
