Summary
SoliDAIR brings together 10 manufacturing, technological and research experts to accelerate the uptake of Artificial Intelligence (AI) and Robotics in European manufacturing, using Data as an enabler. It will co-develop and demonstrate tailored solutions to digitalise and automate visual inspection and physical testing, enable predictive quality control and process optimisation.
AI & Robotics systems are not extensively used in the production industry, because it is not clear whether they are safe and when or why they will fail. The SoliDAIR project tackles this problem by researching, developing and testing methods that are as solid and trustworthy as possible to be adopted by the European industry, while being cost-efficient to develop and replicate.
New methods and tools will be developed by research and technology providers, which leverage the current state of the art in visual AI, AI for process data, and smart & collaborative Robotics. The developed technologies will be applied and demonstrated in 4 industry use cases to prove their functionality and applicability in real production environments. The objective is to improve production processes through digitalised and automated quality control for high volume, high rate and flexible manufacturing.
The use cases are led by mature European manufacturing companies and represent problems that every producing industry struggles with. Solving them increases the process efficiency and flexibility, while improving the working conditions of the process staff.
The developed methods shall be efficiently and easily adaptable and replicable, so they can be easily applied to new use cases outside the consortium. The accelerated adoption of the AI & Robotics solutions, tools and methods solutions will facilitate a strong increase in the competitiveness and sustainability of the EU manufacturing companies across sectors.
AI & Robotics systems are not extensively used in the production industry, because it is not clear whether they are safe and when or why they will fail. The SoliDAIR project tackles this problem by researching, developing and testing methods that are as solid and trustworthy as possible to be adopted by the European industry, while being cost-efficient to develop and replicate.
New methods and tools will be developed by research and technology providers, which leverage the current state of the art in visual AI, AI for process data, and smart & collaborative Robotics. The developed technologies will be applied and demonstrated in 4 industry use cases to prove their functionality and applicability in real production environments. The objective is to improve production processes through digitalised and automated quality control for high volume, high rate and flexible manufacturing.
The use cases are led by mature European manufacturing companies and represent problems that every producing industry struggles with. Solving them increases the process efficiency and flexibility, while improving the working conditions of the process staff.
The developed methods shall be efficiently and easily adaptable and replicable, so they can be easily applied to new use cases outside the consortium. The accelerated adoption of the AI & Robotics solutions, tools and methods solutions will facilitate a strong increase in the competitiveness and sustainability of the EU manufacturing companies across sectors.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101120276 |
| Start date: | 01-10-2023 |
| End date: | 30-09-2026 |
| Total budget - Public funding: | 3 581 121,25 Euro - 2 988 331,00 Euro |
Cordis data
Original description
SoliDAIR brings together 10 manufacturing, technological and research experts to accelerate the uptake of Artificial Intelligence (AI) and Robotics in European manufacturing, using Data as an enabler. It will co-develop and demonstrate tailored solutions to digitalise and automate visual inspection and physical testing, enable predictive quality control and process optimisation.AI & Robotics systems are not extensively used in the production industry, because it is not clear whether they are safe and when or why they will fail. The SoliDAIR project tackles this problem by researching, developing and testing methods that are as solid and trustworthy as possible to be adopted by the European industry, while being cost-efficient to develop and replicate.
New methods and tools will be developed by research and technology providers, which leverage the current state of the art in visual AI, AI for process data, and smart & collaborative Robotics. The developed technologies will be applied and demonstrated in 4 industry use cases to prove their functionality and applicability in real production environments. The objective is to improve production processes through digitalised and automated quality control for high volume, high rate and flexible manufacturing.
The use cases are led by mature European manufacturing companies and represent problems that every producing industry struggles with. Solving them increases the process efficiency and flexibility, while improving the working conditions of the process staff.
The developed methods shall be efficiently and easily adaptable and replicable, so they can be easily applied to new use cases outside the consortium. The accelerated adoption of the AI & Robotics solutions, tools and methods solutions will facilitate a strong increase in the competitiveness and sustainability of the EU manufacturing companies across sectors.
Status
SIGNEDCall topic
HORIZON-CL4-2022-DIGITAL-EMERGING-02-05Update Date
31-07-2023
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Search
Organisations
-
| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. (Coördinator)
-
| AUTFORCE AUTOMATIONS-GMBH
-
| BOSCH SANAYI VE TICARET AS
-
| BROSE FAHRZEUGTEILE GMBH & CO KOMMANDITGESELLSCHAFT RASTATT
-
| BROSE FAHRZEUGTEILE SE & CO. KOMMANDITGESELLSCHAFT COBURG
-
| BROSE FAHRZEUGTEILE SE & CO. KOMMANDITGESELLSCHAFT, BAMBERG
-
| FUNDACION CIE I+D+I
-
| I2M UNTERNEHMENSENTWICKLUNG GMBH
-
| Kompetenzzentrum das Virtuelle Fahrzeug Forschungsgesellschaft mbH (Virtual Vehicle)
-
| SIEMENS INDUSTRY SOFTWARE NV (SISW)
-
| TWI ELLAS ASTIKI MI KERDOSKOPIKI ETAIREIA (TWI)
-
| UG SYSTEMS GMBH & CO. KG