Project description
Unlocking AI and robotics potential in European manufacturing
The potential of AI and robotics in manufacturing remains untapped due to persistent concerns regarding safety and reliability. Hesitation to fully embrace these technologies is rooted in uncertainty about their capabilities. This limits the industry’s ability to adapt to the demands of the modern era. In this context, the EU-funded SoliDAIR project aims to pave the way towards a new era of transformative innovation. Involving 10 manufacturing, tech, and research experts, the project aims to revolutionise the industry by harnessing the power of data to accelerate the adoption of AI and robotics. Overall, SoliDAIR’s mission is to develop robust methods and tools that ensure the safety and dependability of AI and robotics systems in manufacturing.
Objective
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.
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HORIZON-IA - HORIZON Innovation ActionsCoordinator
80686 Munchen
Germany