Innovating Works
ICT-47-2020
ICT-47-2020: Research and Innovation boosting promising robotics applications
Specific Challenge:Robotics enables a significant part of the economic impact of AI by delivering physical intelligence. Logistics, Healthcare, Agri-Food, Inspection and Maintenance, Mobility, Construction, Decommissioning; all require physical intelligence, for example in object manipulation. Physical intelligence is derived from combinations of underlying functional capabilities and developing these capabilities beyond the state of the art depends on fundamental R&D&I which crosses between technical domains, for example into materials research or human interaction. It is therefore important to enhance the capability of robots by exploring and developing the opportunities offered by novel technical developments related to physical intelligence.
Sólo fondo perdido 0 €
Europeo
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Specific Challenge:Robotics enables a significant part of the economic impact of AI by delivering physical intelligence. Logistics, Healthcare, Agri-Food, Inspection and Maintenance, Mobility, Construction, Decommissioning; all require physical intelligence, for example in object manipulation. Physical intelligence is derived from combinations of underlying functional capabilities and developing these capabilities beyond the state of the art depends on fundamental R&D&I which crosses between technical domains, for example into materials research or human interaction. It is therefore important to enhance the capability of robots by exploring and developing the opportunities offered by novel technical developments related to physical intelligence.


Scope:Innovative approaches to hard research problems in relation to applications of robotics in promising new areas are particularly encouraged. Proposals are expected to enable substantially improved solutions to challenging technical issues, with a view of take-up in applications with high socio-economic impact and low environmental footprint, where appropriate. Driven by application needs, the work ca... ver más

Specific Challenge:Robotics enables a significant part of the economic impact of AI by delivering physical intelligence. Logistics, Healthcare, Agri-Food, Inspection and Maintenance, Mobility, Construction, Decommissioning; all require physical intelligence, for example in object manipulation. Physical intelligence is derived from combinations of underlying functional capabilities and developing these capabilities beyond the state of the art depends on fundamental R&D&I which crosses between technical domains, for example into materials research or human interaction. It is therefore important to enhance the capability of robots by exploring and developing the opportunities offered by novel technical developments related to physical intelligence.


Scope:Innovative approaches to hard research problems in relation to applications of robotics in promising new areas are particularly encouraged. Proposals are expected to enable substantially improved solutions to challenging technical issues, with a view of take-up in applications with high socio-economic impact and low environmental footprint, where appropriate. Driven by application needs, the work can start from research at low TRL, but proposals are expected to validate their results in sufficiently realistic scenarios in order to demonstrate the potential for take-up in the selected application(s).

The call is open to the following research areas:

Development of autonomous robots at the micro- or millimetre scale capable of energy autonomy on the scale of hours or longer. Developing miniature robots is challenging and the potential of robotics at this scale has not been fully explored.Integration and use of novel materials for service robotics, for instance active materials (e.g.: soft grippers). Current materials often limit the capability of robots, an exploration of how novel materials can reshape robots is an important innovation. In addition, material enabling the design of easy to maintain, upgrade and recycle robots, would also be an important innovation.Beyond human speed, general purpose, dexterous manipulation of objects. Raising productivity in many processes will require robots to operate faster than humans in the same task.Application and integration of non-visual sensing novel for service robotics (including off-board, ambient and multi-scale sensing) to achieve new functionality. Many applications in service robotics need sense data beyond the visual; for example chemical, biological, and physical properties; integrating these non-visual data into interpretation and decision making can enhance tasks by taking them beyond human sensing limitations.Development of intrinsically safe physical powerful robotic systems with proximity sensing capability for human-scale collaborative tasks. Developing intrinsically safe systems is critical to the uptake of collaborative robotics where robots need to be capable of applying working forces that can potentially cause injury to humans.Development of variable autonomy systems that significantly extend and enhance the operator’s awareness of the working environment. Sharing autonomy between a human operator and a robot can speed up operations and raise productivity. Proposals are expected to be inspired by, and demonstrate the capability to address, real end user needs, respecting ethical, legal and social aspects, as appropriate. Proposals will be expected to plan efforts to connect and cooperate with the DIHs, Platforms and other relevant activities of this work programme, as appropriate. Proposals will be expected to deliver integrated TRL 4 demonstrations that show step change performance improvement over the current state of the art in the chosen area.

The Commission considers that proposals requesting a contribution from the EU between EUR 2 and 3 million would allow this area to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.


Expected Impact:Strengthening European excellence in Robotics S&TBoosting the use of robotics in promising application areasOpening up new markets for roboticsLowering barriers in the deployment of robotics-based solutions.
Cross-cutting Priorities:Contractual Public-Private Partnerships (cPPPs)Robotics


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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: Duración:
Requisitos técnicos: Specific Challenge:Robotics enables a significant part of the economic impact of AI by delivering physical intelligence. Logistics, Healthcare, Agri-Food, Inspection and Maintenance, Mobility, Construction, Decommissioning; all require physical intelligence, for example in object manipulation. Physical intelligence is derived from combinations of underlying functional capabilities and developing these capabilities beyond the state of the art depends on fundamental R&D&I which crosses between technical domains, for example into materials research or human interaction. It is therefore important to enhance the capability of robots by exploring and developing the opportunities offered by novel technical developments related to physical intelligence. Specific Challenge:Robotics enables a significant part of the economic impact of AI by delivering physical intelligence. Logistics, Healthcare, Agri-Food, Inspection and Maintenance, Mobility, Construction, Decommissioning; all require physical intelligence, for example in object manipulation. Physical intelligence is derived from combinations of underlying functional capabilities and developing these capabilities beyond the state of the art depends on fundamental R&D&I which crosses between technical domains, for example into materials research or human interaction. It is therefore important to enhance the capability of robots by exploring and developing the opportunities offered by novel technical developments related to physical intelligence.
¿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.
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Purchase costs.
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
Subcontracting costs.
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Amortizaciones.
Activos.
Otros Gastos.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 5:. Los elementos básicos de la innovación son integrados de manera que la configuración final es similar a su aplicación final, es decir que está listo para ser usado en la simulación de un entorno real. Se mejoran los modelos tanto técnicos como económicos del diseño inicial, se ha identificado adicionalmente aspectos de seguridad, limitaciones ambiéntales y/o regulatorios entre otros. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
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1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
 
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme. 
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
 
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme. 
Submission and evaluation processes are described in the Online Manual.
 
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) &n...
1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
 
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme. 
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
 
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme. 
Submission and evaluation processes are described in the Online Manual.
 
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
8. Additional documents:
1. Introduction WP 2018-20
5. Introduction to Leadership in enabling and industrial technologies (LEITs) WP 2018-20
5i. Information and communication technologies (ICT) WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
20. Cross-cutting activities WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
A Guide to ICT-related Activities in H2020 Work Programme 2018-20
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
 
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

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