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STAR

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Safe and Trusted Human Centric Artificial Intelligence in Future Manufacturing...

Safe and Trusted Human Centric Artificial Intelligence in Future Manufacturing Lines AI systems in industrial plants must be safe, trusted and secure, even when operating in dynamic, unstructured and unpredictable environments. STAR is a joint effort of AI and digital manufacturing experts towards enabling the dep... ver más

31/12/2023

INTRASOFT

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

NETCOMPANY INTRASOFT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 18 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-12-31

ICT-38-2020: Artificial intelligence for manufac... Specific Challenge:State-of-the-art AI technologies need to be integrated with advanced manufacturin...

I+D

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

18 Participantes

INTRASOFT

722.75K€ | Lider

HOWMET ESPAÑA

890.50K€ | Participante

IBER-OLEFF SA

406.25K€ | Participante

RIJKSUNIVERSITEIT GRONINGEN

265.00K€ | Participante

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Duración del proyecto: 41 meses Fecha Inicio: 2020-07-28
Fecha Fin: 2023-12-31

Líder del proyecto

NETCOMPANY INTRASOFT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto AI systems in industrial plants must be safe, trusted and secure, even when operating in dynamic, unstructured and unpredictable environments. STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe reliable and trusted human centric AI systems in manufacturing environments. STAR will research and make available to novel technologies that will enable AI systems to acquire knowledge in order to take timely and safe decisions in dynamic and unpredictable environments. Moreover, it will research technologies that enable AI systems to confront sophisticated adversaries and to remain robust against security attacks. STAR’s will research and integration leading edge AI technologies with wide applicability in manufacturing environments, including: •Active learning systems that boost safety and accelerate the acquisition of knowledge. •Simulated reality systems that accelerate Reinforcement Learning (RL) in human robot collaboration scenarios. •Explainable AI (XAI) systems that boost the transparency of industrial systems and increase the trust on them. •Human Centric digital twins enabling worker monitoring for safer and trustful production processes. •Advanced RL techniques for optimal navigation of mobile robots and for the detection of safety zones in industrial plants. •Cyber-defence mechanisms for sophisticated poisoning and evasion attacks against deep neural networks operating over industrial data. These technologies will be validated in challenging scenarios in manufacturing lines in the areas of quality management, human robot collaboration and AI-based agile manufacturing. STAR will eliminate security and safety barriers against deploying sophisticated AI systems in production lines. The results will be fully integrated into existing EU-wide initiatives (EFFRA, AI4EU), as a means of enabling researchers and the European industry to deploy and leverage advanced AI solutions in production lines.

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