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HORIZON-CL4-2021-TWIN-TRANSITION-01...
HORIZON-CL4-2021-TWIN-TRANSITION-01-01: AI enhanced robotics systems for smart manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
ExpectedOutcome:Projects are expected to contribute to the following outcomes:
Sólo fondo perdido 0 €
European
This call is closed Esta línea ya está cerrada por lo que no puedes aplicar.
An upcoming call for this aid is expected, the exact start date of call is not yet clear.
Presentation: Consortium Consortium: Esta ayuda está diseñada para aplicar a ella en formato consorcio.
Minimum number of participants.
This aid finances Proyectos:

ExpectedOutcome:Projects are expected to contribute to the following outcomes:

Provide safe, highly flexible, reconfigurable and modular solutions, allowing fast response to repurposing changes in production requirements, reducing considerably programming effort and configuration time for new products;Demonstrate significant improvements towards a meaningful and seamless social collaboration in teams of human workers, autonomous agents and robots by exploiting the latest advancements in AI, robotics and Social Sciences and Humanities (SSH);Create a network of open-access pilots to allow new users, especially students, start-ups, representatives from the makers’ community and SMEs, to experiment new technologies and to enable data and knowledge sharing through the European industrial ecosystems.
Scope:EU and Associated countries need to strengthen their capacity to manufacture and re-manufacture goods in a sustainable and competitive way to be ready to expand into new value chains. The recent crisis has also shown the importance of resilient, flexible, reconfigurable and responsive data-driven manufacturing lines.

Projects should seize the opportuni... see more

ExpectedOutcome:Projects are expected to contribute to the following outcomes:

Provide safe, highly flexible, reconfigurable and modular solutions, allowing fast response to repurposing changes in production requirements, reducing considerably programming effort and configuration time for new products;Demonstrate significant improvements towards a meaningful and seamless social collaboration in teams of human workers, autonomous agents and robots by exploiting the latest advancements in AI, robotics and Social Sciences and Humanities (SSH);Create a network of open-access pilots to allow new users, especially students, start-ups, representatives from the makers’ community and SMEs, to experiment new technologies and to enable data and knowledge sharing through the European industrial ecosystems.
Scope:EU and Associated countries need to strengthen their capacity to manufacture and re-manufacture goods in a sustainable and competitive way to be ready to expand into new value chains. The recent crisis has also shown the importance of resilient, flexible, reconfigurable and responsive data-driven manufacturing lines.

Projects should seize the opportunities arising from the latest state-of the art-developments in AI and robotics to deploy intelligent and autonomous systems for flexible production.

Research activities should be multi-disciplinary and address all of the following areas:

Development of robust, easy to use, explainable and compliant AI tools for manufacturing environments that require minimal learning and can be configured without highly skilled personnel;Implement and integrate the latest research findings on technologies such as sensors, actuators, control, edge computing, haptic technologies, mechatronics, robotics and autonomous systems to enhance collaborative robotics systems in order to develop advanced smart manufacturing human-machine collaborative systems ensuring safe physical and social interactions and efficient collaboration with human workers;Demonstrate complex, safe and efficient collaboration between multiple agents simultaneously, e.g. humans, autonomous agents, industrial machinery, AGVs and collaborative robots;SSH should provide a variety of human-centric approaches to develop smooth collaboration in the human-machine teams; to improve user experience; and increase awareness comfort, trust, skill and safety (physical and social) of workers in highly automated industrial environments by incorporating a greater understanding of linguistic, historic, and cultural concerns of end-users and workers , while taking into consideration a gender and intersectional perspective;Demonstrate results in at least three large-scale industrial use-cases, targeting sectors and tasks typically difficult to automate. Proposals submitted under this topic should include a business case and exploitation strategy, as outlined in the introduction to this Destination.

Research must build on existing standards or contribute to standardisation. Interoperability for data sharing should be addressed. Additionally, a strategy for skills development should be presented, associating social partners when relevant.

All projects should build on or seek collaboration with existing projects and develop synergies with other relevant European, national or regional initiatives, funding programmes and platforms.

In order to achieve the expected outcomes, international cooperation is encouraged, in particular with Japan and/or South Korea in view of the long cooperation with EU on AI, robotics and manufacturing.

This topic implements jointly the co-programmed European Partnerships Made in Europe and AI, Data and Robotics.


Specific Topic Conditions:Activities are expected to start at TRL 5 and achieve TRL 7 by the end of the project – see General Annex B.




Cross-cutting Priorities:Socio-economic science and humanitiesInternational CooperationCo-programmed European PartnershipsCo-programmed European Partnerships


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Temáticas Obligatorias del proyecto: Temática principal: Applied mechanics Co-programmed European Partnerships Social sciences and humanities International Cooperation Robotics and automatic control Mechanical engineering Automation and control systems

Consortium characteristics

Scope European : The aid is European, you can apply to this line any company that is part of the European Community.
Tipo y tamaño de organizaciones: The necessary consortium design for the processing of this aid needs:

characteristics of the Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: ExpectedOutcome:Projects are expected to contribute to the following outcomes: ExpectedOutcome:Projects are expected to contribute to the following outcomes:
Do you want examples? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Financial Chapters: The chapters of financing expenses for this line are:
Personnel costs.
Expenses related to personnel working directly on the project are based on actual hours spent, based on company costs, and fixed ratios for certain employees, such as the company's owners.
Subcontracting costs.
Payments to external third parties to perform specific tasks that cannot be performed by the project beneficiaries.
Purchase costs.
They include the acquisition of equipment, amortization, material, licenses or other goods and services necessary for the execution of the project
Other cost categories.
Miscellaneous expenses such as financial costs, audit certificates or participation in events not covered by other categories
Indirect costs.
Overhead costs not directly assignable to the project (such as electricity, rent, or office space), calculated as a fixed 25% of eligible direct costs (excluding subcontracting).
Madurez tecnológica: The processing of this aid requires a minimum technological level in the project of TRL 6:. Se cuenta con prototipos piloto capaces de desarrollar todas las funciones necesarias dentro de un sistema determinado, habiendo superado pruebas de factibilidad en condiciones de operación o funcionamiento real. + info.
TRL esperado:

Characteristics of financing

Intensidad de la ayuda: Sólo fondo perdido + info
Lost Fund:
0% 25% 50% 75% 100%
For the eligible budget, the intensity of the aid in the form of a lost fund may reach From a 70% up to a 100%.
The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities. The funding rate for IA projects is 70 % for profit-making legal entities and 100 % for non-profit legal entities.
Guarantees:
does not require guarantees
No existen condiciones financieras para el beneficiario.

Additional information about the call

incentive effect: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
non -competitive competitive Very competitive
We do not know the total budget of the line
minimis: Esta línea de financiación NO considera una “ayuda de minimis”. You can consult the regulations here.

other advantages

SME seal: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
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HORIZON-CL4-2021-TWIN-TRANSITION-01-01 AI enhanced robotics systems for smart manufacturing (AI, Data and Robotics - Made in Europe Partnerships) (IA)
en consorcio: ExpectedOutcome:Projects are expected to contribute to the following outcomes: Provide safe, highly flexible, reconfigurable and modular so...
Cerrada | next call scheduled for the month of