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VeriDream

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VERtical Innovation in the Domain of Robotics Enabled by Artificial intelligence...

VERtical Innovation in the Domain of Robotics Enabled by Artificial intelligence Methods "Advances in artificial intelligence (AI) are changing the business models of many companies, and creating entirely new ones. But whereas the general public associates AI predominantly with autonomous and humanoid robots, the econ... ver más

31/03/2023

DLR

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

DEUTSCHES ZENTRUM FUR LUFT UND RAUMFAHRT EV 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 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-03-31

FETPROACT-EIC-06-2019: EIC Transition to Innovation Activi...

I+D

Cerrada hace 5 años

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Información adicional privada

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

8 Participantes

DLR

628.28K€ | Lider

IKOR METERING SA

202.30K€ | Participante

ARMINES

204.56K€ | Participante

ENSTA PARIS | INSTITUT POLYT...

80.76K€ | Participante

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Duración del proyecto: 33 meses Fecha Inicio: 2020-06-26
Fecha Fin: 2023-03-31

Líder del proyecto

DEUTSCHES ZENTRUM FUR LUFT UND RAUMFAHRT EV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "Advances in artificial intelligence (AI) are changing the business models of many companies, and creating entirely new ones. But whereas the general public associates AI predominantly with autonomous and humanoid robots, the economic impact of AI on robotics has been very limited in comparison to domains which were digitised from the start, such as Internet search and social networks. This is because acting in the physical world raises many challenges related to the variability of the real world, its continuous and dynamic nature, as well as the consequences of suboptimal or erroneous behaviour. To address these challenges, VeriDream proposes a two-fold research and innovation strategy for AI in robotics, based on the generalisation and robustification of AI methods developed by the three research partners in two previous H2020 projects, DREAM and RobDREAM. The deep innovation strategy aims at high TRL on a set of use cases from the specific domain of warehouse logistics at the start-up Magazino. The broad innovation strategy, pursued by Synesis and GoodAI, aims at fostering a broader uptake of DREAM methods in SMEs, also beyond the project, and even beyond robotics. VeriDream thus aim at both concrete high-TRL innovation success stories, as well as providing experience and templates for innovation from which other European SMEs may profit. In both strategies, our methodology is based on ""closing the innovation loop"". This means that research on AI methods is driven less by performance on static benchmarks, but rather by general methodological requirements derived from the performance on multiple industrial use cases. This will require scientific advances in state representation learning, failure discovery and resolution, and continual learning. The generalisation and robustification of DREAM methods that results from this research will have a substantial impact on the innovation potential of these methods. Demonstrating this is VeriDream's mission."

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