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HORIZON-CL4-2023-DIGITAL-...
HORIZON-CL4-2023-DIGITAL-EMERGING-01-02: Industrial leadership in AI, Data and Robotics – advanced human robot interaction (AI Data and Robotics Partnership) (IA)
ExpectedOutcome:Projects are expected to contribute to all the following outcomes:
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 29-03-2023.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

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

To reach the point where human robot interaction, extended in time and scope beyond the current state of the art, adds value and improves the quality of outcome for complex tasks; for example service tasks, or complex industry processing tasks or tasks in a healthcare setting. Where the focus is on tasks where robotics can add capabilities that extend human ability but which require human interaction to be achieved. These tasks will require varying levels of interaction and communication, dependent on the current state of the task, but will essentially require close interaction over extended periods of time.Validate AI, Data and Robotics at scale by demonstrating the potential of integrating these technologies to address challenges in key industries and develop solutions that address human robot interaction at all levels from physical interaction to social interaction in a variety of working environments. Make and exploit major advances in technology, to maintain Europe’s excellence and ensure sovereignty of these key technologies expected to affect society by contributing to addressing... ver más

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

To reach the point where human robot interaction, extended in time and scope beyond the current state of the art, adds value and improves the quality of outcome for complex tasks; for example service tasks, or complex industry processing tasks or tasks in a healthcare setting. Where the focus is on tasks where robotics can add capabilities that extend human ability but which require human interaction to be achieved. These tasks will require varying levels of interaction and communication, dependent on the current state of the task, but will essentially require close interaction over extended periods of time.Validate AI, Data and Robotics at scale by demonstrating the potential of integrating these technologies to address challenges in key industries and develop solutions that address human robot interaction at all levels from physical interaction to social interaction in a variety of working environments. Make and exploit major advances in technology, to maintain Europe’s excellence and ensure sovereignty of these key technologies expected to affect society by contributing to addressing major societal challenges by enhancing interactions between robots and people. Boost the innovation potential for wide uptake of AI, Data and Robotics by significantly improving the ability of robots to work in collaboration with humans as equals.
Scope:Proposals should demonstrate the added value of integrating AI, Data and Robotics technologies through large-scale validation scenarios reaching critical mass and mobilising the user industry, Focus should be given to attracting new user industries, to boost the uptake of AI, Data and Robotics in major sectors and stimulate the involvement of end-users where appropriate. Besides major industries, these Actions should also involve SMEs and/or start-ups with high potential to foster innovation that advances the nature and level of interaction between people and robots, especially dealing with paradigmatic shifts in working practice that create improvements for industry and society. Proposals should target sectors and application domains with wide-scale deployment potential and maximum contribution to the European economy.

Multidisciplinary innovation activities should address one of the following:

Development of innovative solutions to address major application-driven challenges, involving a large set of SMEs/ midcaps developing innovative solutions in order to boost the innovator community in Europe. This action also aims to expand the deployment of software engineering dedicated to human robot interaction. Especially to extend and adopt the practices of the Digital Industrial Platform for Robotics, and to stimulate the development of robust middleware that can be deployed in service and industrial applications and to expand the number and variety of high quality sharable industrially deployable modules related to human robot interaction at all levels, fostering the widespread deployment of such technologies in the targeted application sector and beyond. Financial Support to Third Parties: Projects should use FSTP to stimulate the engagement of SMEs in the delivery of high quality, robust, sharable modules for use in human robot interaction in service and industrial tasks. Minimum 50% of the EU funding requested by the proposal should be allocated to the purpose of financial support to third parties.

Large scale pilots bringing major industries from key application sectors in Europe – facilitating collaboration between these major companies and innovative SMEs/Start-ups/academia/tech-transfer organisations with the goal is to exploit re-usable tools, systems, sub-systems and solutions in various use-cases/sectors where human robot interaction is a critical necessity. Pilots should show scalability/versatility, and enable economies of scale. Financial Support to Third Parties: Projects may involve FSTP in order to stimulate the engagement of SMEs in testing and validating innovative solutions in the pilots. A maximum of 50% of the EU funding requested by the proposal may be allocated to the purpose of financial support to third parties.

Proposals should involve appropriate expertise in all the relevant disciplines, such as engineering, computer sciences, mathematics, Social Sciences and Humanities (SSH), neuroscience, psychology, cognitive sciences, philosophy, biology, etc. and in particular should involve the relevant expertise to address the human factors aspects of robot human collaboration at all levels of interaction.

Proposals should clearly delineate the expected contributions from the main beneficiaries as well as from the third parties, to ensure their coherence and impact.

Security, privacy and safety should be taken into account to minimise risks to users both in terms of physical harm and in terms of digital privacy and security.

Proposals should include a clear business case and exploitation strategy.

Proposals should contribute to making human robot interactions using AI and robotics solutions meet the requirements of Trustworthy AI, based on the respect of the ethical principles, the fundamental rights including critical aspects such as robustness, safety, reliability, in line with the European Approach to AI. With these principles being adopted from the early stages of development and design through to deployment by using appropriate models of human robot interaction.

Proposals are expected to embed mechanisms to assess and demonstrate progress (with qualitative and quantitative KPIs, benchmarking and progress monitoring, as well as illustrative application use-cases demonstrating well defined added value to end users), and share communicable results with the European R&D community, through the robotics elements of the AI-on-demand platform and/or the Digital Industrial Platform for Robotics, public community resources, to maximise re-use of results, either by developers, or for uptake, and optimise efficiency of funding; enhancing the European AI, Data and Robotics ecosystem through the sharing of results and best practice.

This topic implements the co-programmed European Partnership on AI, data and robotics.


Specific Topic Conditions:Activities are expected to start at TRL 3-5 and achieve TRL 6-7 by the end of the project – see General Annex B.




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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: *Presupuesto para cada participante en el proyecto
Requisitos técnicos: ExpectedOutcome:Projects are expected to contribute to all the following outcomes: ExpectedOutcome:Projects are expected to contribute to all the following outcomes:
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Subcontracting costs.
Purchase costs.
Other cost categories.
Indirect costs.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 6:. Representa un paso importante en demostrar la madurez de una tecnología. Se construye un prototipo de alta fidelidad que aborda adecuadamente las cuestiones críticas de escala, que opera en un entorno relevante, y que debe ser a su vez una buena representación del entorno operativo real. + info.
TRL esperado:
Estadísticas proyectos financiados: Te facilitamos algunas estadísticas de los últimos 11 proyectos tramitados conocidos por categoría de empresa, porcentaje y presupuesto medio.

Categoria

%

Presupuesto medio

Pequeña

25%

0€

Grande

75%

0€

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar desde un 70% hasta un 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.
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: 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:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea pero en los últimos 6 meses la línea ha concecido
Total concedido en los últimos 6 meses.
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.