Industrial leadership in AI, Data and Robotics boosting competitiveness and the green transition (AI Data and Robotics Partnership) (IA)[[https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662906/IPOL_STU(2021)662906_EN.pdf]]

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资助机构

Horizon Europe Framework Programme (HORIZON)

European Commission

研究领域

Robotics for marketing

Computer graphics, computer vision, multi media, c

Artificial Intelligence

Robotics for healthcare

Mapping

Robotics for manufacturing

Co-programmed European Partnerships

Robotics for law enforcement

Man Machine interface

Warehousing

Robotics for fishing

Robotics for emergency services

Robotics for environment

Cognitive architectures

Human robot collaboration

Therapy and rehabilitation

Robotics for inspection and monitoring

Robotics for commercial applications

Digital Agenda

Domestic appliances

Robotic sensors

Robotics for utilities and service

Motion planning

Surgical robotics

System design

Knowledge representation and reasoning

Robotic cognition

Learning, development and adaptation

Robot safety

Robotic actuators

Machine learning, statistical data processing and

Signal interpretation

Software engineering, operating systems, computer

Cognitive science

Action planning

Robotics for education

Craft and bespoke manufacture

Automation and control systems

Robotics for transport and logistics

Robotics for civil engineering

Robotics for mining and quarrying

Robotics for consumer applications

Industrial robot

Robotics for animal production

Mechatronics

Artificial intelligence, intelligent systems, mult

Computer sciences, information science and bioinfo

Food processing

Robotics for entertainment

Robot navigation

Human robot interaction

RePowerEU

Robotics for agriculture

System engineering

Robotics for training

Robotics for science Support

System integration

Robotics for goods transport

Localisation

Robotic control

Robotics for construction

Assistive robotics

Robotic communication

Robotics for people transport

Robotic perception

Robotics and automatic control

Natural interaction

Robotics for forestry

Soft products manufacture

System architecture

Robotics for civil applications

Robotics for agriculture, forestry and fishing

Robotics

Social sciences and humanities

Assistive living

Sensing

Robotics for search and rescue

Power supply

Modelling and knowledge engineering

Mechanical structures of robots

Robotics for monitoring and security

Robotic system development

截止日期

2024-03-19 (已过期)

基金规模

€60000000

申请资格

General conditions

1. Admissibility conditions: described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.

Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.

2. Eligible countries: described in Annex B of the Work Programme General Annexes.

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 Europe projects. See the information in the Horizon Europe Programme Guide.

3. Other eligibility conditions: described in Annex B of the Work Programme General Annexes.

If projects use satellite-based earth observation, positioning, navigation and/or related timing data and services, beneficiaries must make use of Copernicus and/or Galileo/EGNOS (other data and services may additionally be used).

4. Financial and operational capacity and exclusion: described in Annex C of the Work Programme General Annexes.

5. Evaluation and award:

Award criteria, scoring and thresholds are described in Annex D of the Work Programme General Annexes.

Submission and evaluation processes are described in Annex F of the Work Programme General Annexes and the Online Manual.

To ensure a balanced portfolio coverage, grants will be awarded to applications not only in order of ranking but at least also to the two highest ranked proposals for each of the two expected outcomes (1. The creation of systems to address large scale challenges using combined robotics data and AI solutions, 2. The creation of systems to address large scale resource optimisation challenges using combined AI and Data solutions). Proposals should clearly identify the outcome it will focus on.

Indicative timeline for evaluation and grant agreement: described in Annex F of the Work Programme General Annexes.

6. Legal and financial set-up of the grants: described in Annex G of the Work Programme General Annexes.

Beneficiaries may provide financial support to third parties.

The support to third parties can only be provided in the form of grants.

As third parties' grants may include robotics components, requiring high equipment investment and/or important effort to integrate in a use-case to address robotics challenges, the maximum amount to be granted to each third party is EUR 200 000.

40% budget for FSTP in sub-area ‘creation of systems to address large scale resource optimisation challenges using combined AI and Data solutions’

Specific conditions

7. Specific conditions: described in the specific topic of the Work Programme.

Documents

Call documents:

Standard application form (HE RIA, IA) — call-specific application form is available in the Submission System

Standard evaluation form (HE RIA, IA) — will be used with the necessary adaptations

HE General MGA v1.0 — MGA

Information on financial support to third parties (HE)

Additional documents:

HE Main Work Programme 2023–2024 – 1. General Introduction

HE Main Work Programme 2023–2024 – 7. Digital, Industry and Space

HE Main Work Programme 2023–2024 – 13. General Annexes

HE Programme Guide

HE Framework Programme and Rules for Participation Regulation 2021/695

HE Specific Programme Decision 2021/764

EU Financial Regulation

Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment

EU Grants AGA — Annotated Model Grant Agreement

Funding & Tenders Portal Online Manual

Funding & Tenders Portal Terms and Conditions

Funding & Tenders Portal Privacy Statement

基金编号

HORIZON-CL4-2024-DIGITAL-EMERGING-01-04

说明

ExpectedOutcome:

Projects are expected to contribute to one of the two following outcomes, exclusively:

The creation of systems to address large scale challenges using combined robotics data and AI solutions that have significant impact on the objectives of the green deal. For example; in improving domestic energy consumption or in the cleaning up of contaminated land and waterways or in accelerating the circular economy along the complete value chain through automated waste avoidance and waste processing or reuse of materials.
The creation of systems to address large scale resource optimisation challenges using combined AI and Data solutions, that have significant impact on the objectives of the green deal, such as optimisation of any kind of resources, from production to use along the complete value chain in order to minimise waste or foster the reuse of resources or in using AI and data solutions to maximize energy efficiency, ensuring energy security.

Which will contribute to

The validation of solutions at scale by demonstrating the potential of integrating these technologies to address challenges in industrial ecosystems and develop solutions that are environmental friendly and contribute to the green deal
Making and exploiting major advances in science and technology, to maintain Europe’s scientific excellence and ensure sovereignty of these key technologies expected to affect the society in contributing to addressing major societal challenges affecting the environment.
Exploring deployment solutions that can ensure efficient scale up.
Boosting the uptake of AI, Data and Robotics to exploit the major contribution expected to environmental sustainability.

Proposals should clearly identify the outcome it will focus on.

Scope:

Proposals should demonstrate the added value of integrating either AI and Data, or AI, Data and Robotics technologies through large-scale validation scenarios reaching critical mass and mobilising the user industry, while demonstrating high potential impact contributing to the European Green Deal objectives. For example in the recycling of electric car batteries, cleaning and monitoring the oceans, decommissioning energy infrastructure, supporting the recycling of materials, the optimisation of energy usage, the minimisation of resource waste in value-chains, for example through the better adaption of production to demand, etc.

Focus should be given to attracting new user industries, and/or showing new business opportunities to boost the uptake of AI, Data and Robotics in major sectors and stimulate the involvement where appropriate of end-users to define the technological barriers to uptake and the use cases for deployment.

Proposals should address the involvement of SMEs and/or start-ups with significant potential to foster innovation through their engagement with large scale pilots. Focus will be on leveraging and nurturing emerging collaborations between stakeholder communities shaping an effective eco-system fit for the challenge of European AI, Data, Robotics, and on accelerating European R&I through structural involvement of innovative SME and deep-tech start-ups.

Proposals should target sectors and application domains with wide-scale deployment potential and maximum contribution to the green deal.

Multidisciplinary innovation activities should address one of the following:

Large scale pilots bringing major industries from key application sectors in Europe – facilitating collaboration between small and large companies with the goal of exploiting and integrating existing tools, sub-systems and solutions that are re-usable from other sectors (thereby showing scalability/versatility, and enabling economies of scale) to have significant impact on the objectives of the green deal. The focus will be on the integration of tools, systems sub-systems and solution in the pilot by the grant beneficiaries. In this case, proposals are not expected to involve the use of financial support to third parties.
The development of large-scale pilots addressing key applications with a significant and scalable impact on the objectives of the green deal by facilitating collaboration between small and large companies able address key challenges in the deployment of AI, Data and Robotics.

Financial Support to Third Parties: Projects should use FSTP to leverage novel technical advantage to address the operation of the pilot and to thereby support end users and service providers in addressing the challenges of the green deal. Third parties are expected to use the pilots for developing, testing and validating innovative solutions with significant impact on the green deal. Proposals should clearly delineate the expected contributions from the main beneficiaries as well as from the third parties, to ensure their coherence and impact. 40% of the EU funding requested by the proposal should be allocated to the purpose of financial support to third parties.

Proposals should either involve directly, or indirectly, appropriate expertise in other relevant disciplines for example related to environmental science and, as necessary, Social Sciences and Humanities (SSH) disciplines, especially where this is relevant to validating the effectiveness of proposed systems and technologies with respect to the green deal objectives.

Proposals should include a clear business case and exploitation strategy.

All 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 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.

基金资源
Purdue Grant Writing Lab: Introduction to Grant Writing	打开链接
University of Wisconsin Writing Center: Planning and Writing a Grant Proposal	打开链接