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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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)
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
In the evolving landscape of European manufacturing, the adoption of digital tools is not without its challenges. The CONVERGING project aims to overcome key barriers, including workforce skill shortages and the general lack of awareness around new digital technologies. A key part of this initiative is the establishment of four Open Pilot Lines (OPLs), hosted at renowned Research and Technology Organizations (RTOs) such as LMS, TECNALIA, FHG-IPK, and AIMEN. These OPLs will provide access to testing, validation, and training for various sectors in the EU manufacturing industry.
We present an Automated die polishing system, developed in CONVERGING for and with Ford Spain. This system is capable of on-the-fly polishing.
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