Apply AI: AI-Driven Robotics for Industry: Enabling System Integration and Adoption (IA) (Partnership in AI, Data and Robotics)
Horizon Europe · Grant topic
Summary
A Polish company can use this call for R&D.
Funds development and industrial validation of reusable AI robotics integration frameworks, helping system integrators and SMEs adopt scalable robotic solutions.
- Who can apply
- Companies can lead: SME, large company, startup, research org, university.
- Amount
- €18M per projectTotal budget €18,000,000
- Deadline
- 18 Mar 2027 01:00 CETin 145 days
- Status
- Forthcomingopens 17 Nov 2026
Machine-classified from the call text; check eligibility at the source.
Description
Expected Outcome:
The Apply AI Strategy emphasises acceleration pipelines to ensure a smooth transition from research to deployment of AI-powered robotics. Projects under this topic will deliver common frameworks and reusable building blocks that can serve multiple sectors and use cases, reinforcing Europe’s ability to bring AI-driven robotics to scale.
Project results are expected to contribute to all of the following expected outcomes:
• Wider and faster deployment of robotics, bridging the gap between technology providers and end-users.
• Development and implementation of modular and interoperable integration frameworks and solutions, including standardized protocols for data, training and safety testing, evaluation and validation of robotic solutions in key use cases
• Improved competitiveness of European industries, notably SMEs via the development of advanced robotics systems, intelligent planning and control systems, user feedback rendering techniques and cutting-edge AI innovations
Scope:
The project will address the current European gap in system integration capabilities for robotics solutions addressing the various needs of industries. The project will aim at disseminating a deep understanding of state-of-the-art robotics components, including both hardware and software, and expertise in addressing interoperability issues for the upskilling of system integrators.
To maximise the impact and adaptability of deployed systems, the approach should consider the most appropriate tools to speed up integration processes and suitable AI design, training and inference methodologies, ensuring scalability, transferability, transparency, robustness, flexibility, and real-world applicability in diverse industrial environments, and should remain adaptable to the latest technological developments.
Integration frameworks will promote the use of energy-efficient AI models and hardware ('Green AI'), alongside carbon-aware deployment and operational strategies for robotic system. Where relevant, projects should contribute to open and widely recognised standards to foster interoperability and uptake across the robotics ecosystem. To enhance safety and performance, projects may include high-fidelity simulation environments or digital twins as testbeds for training, validation and verification, with measures to ensure smooth transfer from simulation to real-world deployment.
By bridging the gap between technology providers and end-users, these integrators will enable the creation of seamless, reliable and scalable robotics systems that can be easily adopted by industries, especially SMEs, thereby supporting more flexible and efficient production processes.
The project is expected to deliver:
• A deployable, modular integration framework, validated through at least three real-world industrial pilots covering different reference scenarios to demonstrate that the approach can be adapted to varied industrial needs and company sizes, including both SMEs and larger manufacturers. This framework should provide, for example, a common software layer, standard interfaces to connect to existing workflow and legacy system, possibly also to connect various robot components, coordinate multiple robots and link them with additional AI tools and IoT environments, as well as tested configuration templates and clear guidelines to ensure safe and efficient use.
• An Integration Kit, building on this framework, which offers ready-to-use modules, example configurations and practical tools that help system integrators and companies to set up, test and run AI-enabled robotics solutions more quickly and with reduced technical effort.
• Where relevant, high-fidelity digital twin testbeds should be linked to each pilot, allowing safe and realistic testing and training before deployment, and supporting a smooth transition from virtual models to actual production lines.
• Reusable, datasets (compliant with relevant regulation and IP protection) and practical benchmark tasks, made available to the wider robotics and AI community, to support further development and comparison of new solutions while respecting European data protection rules.
• A clear Step-by-Step Adoption Guide aimed at SMEs and other end-users, providing easy-to-follow instructions, practical checklists and examples to help companies plan, budget and implement AI-driven robotics in a safe and cost-effective way, even if they have limited in-house expertise, and including guidance to navigate regulatory compliance and certification.
• Concrete contributions to relevant open standards and clear guidance on certification pathways, to help ensure compliance with European regulations and build trust in the safe use of AI in robotics. Projects are expected to make full use of existing robotics resources and assets made available through the AI-on-Demand Platform, such as the EuroCORE repository and other relevant shared tools, to maximise synergies, avoid duplication of efforts and ensure broad dissemination and reuse of results within the European AI and robotics community.
This topic implements the co-programmed European Partnership on AI, data, and robotics (ADRA), and all proposals are expected to allocate tasks for cohesion activities with ADRA.
Technology Readiness Level - Technology readiness level expected from completed projects
Activities are expected to start at TRL 4 and achieve TRL 7 by the end of the project – see General Annex B.
Who can apply, in detail
- Applicant types
- SME, Large company, Startup, Research org, University
- Purpose
- Research and innovation
- R&D relevance
- 3 of 3
- Poland eligible
- Yes
- Country limit
- —
- Region
- Any
- Consortium
- Required
- Readiness level (TRL)
- —
- Topics
- AI-driven robotics
- Robotic system integration
- Interoperable robotics frameworks
- Robot safety validation
- Industrial automation
Machine-classified from the call text; check eligibility at the source. 23 Oct 2026
Conditions
Typed facts extracted from the source documents by Scindu's grant-data review. Each value keeps its own conditions. Unknown means unstated, not zero or unlimited.
- Eligible project scope
- The topic addresses system-integration capacity for robotics across industry needs, with dissemination/upskilling of system integrators and practical adoption by industry, especially SMEs.
- Other condition
- Horizon Europe General Annexes describe personnel as actual costs unless declared as a unit cost; they separately list SME-owner/natural-person personnel unit costs, subcontracting as actual costs, purchases as actual costs unless unit cost, and FSTP only if provided by the specific call. Therefore these personnel categories do not turn an external service purchase or subcontract into a hire, and no specific FSTP entitlement is asserted for this topic.
- Other condition
- For A.1 employees/equivalent, the HE MGA states annual personnel costs divided by 215 as the daily-rate basis; declared day-equivalents must be identifiable and verifiable. The total declared day-equivalents per person across EU grants in a year cannot exceed 215, minus parental leave time where applicable.
- Other condition
- Exact source identifies budget-based HORIZON-AG; General Annexes describe actual-cost grants. Eligibility/reimbursement terms depend on applicable MGA and grant agreement.
- Other condition
- The topic explicitly identifies system integrators as an upskilling audience.
- Partner requirement
- Projects should engage with industry partners and end-users to validate practical applicability and impact, and show scalability/commercial-deployment pathways.
Amounts and costs
- Indicative budget
- €18,000,000
Topic budget as stated in the portal's budget table. Lump-sum and per-project limits are in the call conditions.
- Eligible cost
- Directly contracted natural persons (under a non-employment contract) and paid seconded persons may be personnel costs when assigned to the action and meeting general eligibility conditions; they must work under conditions similar to employees, results belong to the beneficiary unless agreed otherwise, and actual costs must not be significantly different from employees performing similar tasks.
- Eligible cost
- Employees/equivalent may be charged as personnel costs only if general eligibility conditions are met, the person works for the beneficiary under an employment contract or equivalent appointing act, is assigned to the action, and remuneration-linked amounts arise under national law or the employment terms; this category is based on costs actually incurred.
- Eligible cost
- The HE MGA allows nonsalaried SME owners and natural-person beneficiaries to claim personnel costs as unit costs under Annex 2a, subject to general eligibility conditions; the AGA gives a daily-rate formula of EUR 8,745.4 divided by 18 days, multiplied by the applicable country-specific correction coefficient for calls opened on or after 30 July 2024. This is a unit-cost calculation, not an employee salary cap or rate guaranteed for every country.
- Funding intensity, maximum
- 70
General rate for other beneficiaries. Topic and grant agreement control; not a staff pay rate.
- Funding intensity, maximum
- 100
Only for non-profit legal entities; not a general IA rate or staff pay rate.
- Expected project funding, up to
- €18,000,000
Approximate expected contribution per project, not an award floor/cap; the topic expressly permits different requested amounts.
- Expected project funding, from
- €18,000,000
Approximate expected contribution per project, not an award floor/cap; the topic expressly permits different requested amounts.
- Topic allocation
- €18,000,000
Indicative topic allocation, distinct from expected EU contribution per project and staff costs.
Personnel and services
Other role
Staff cost the grant can fund
Potential fundable personnel category only when the grant conditions and Article 6.2.A.2 apply; assigned to the action, work under conditions similar to an employee, result belongs to beneficiary unless agreed otherwise, and actual direct-contract costs are not significantly different from comparable employees. It is a contractor engagement category, not employee payroll; no qualification, headcount, FTE, duration or rate is set by this topic.
Other role
Staff cost the grant can fund
Potential fundable personnel category under the applicable Horizon Europe General MGA, conditional on actual action assignment and all eligibility rules. This is not a call-specific required team, named job, or promise of award. Qualification, headcount, FTE, duration and salary are not stated by the topic. Employee remuneration must be actual and linked to national law/employment terms; daily-rate and reporting rules are described in the cited MGA.
Other role
Staff cost the grant can fund
Potential personnel unit-cost category where the applicable grant agreement includes Article 6.2.A.4. Applies only to an SME owner not receiving a salary or a natural-person beneficiary not receiving a salary, with work assigned to the action and general unit-cost conditions met. The daily unit rate is country-adjusted; it is not a salary and this packet does not assert a per-person EUR rate without the recipient country coefficient. No required headcount, FTE, duration or qualification is named in this topic.
Other role
Staff cost the grant can fund
Potential fundable personnel category only when the grant conditions and Article 6.2.A.3 apply; assigned to the action, works under conditions similar to an employee and actual costs are not significantly different from comparable beneficiary employees. This is a paid secondment, not a new employment contract with the beneficiary. No call-specific qualification, headcount, FTE, duration or pay rate is stated.
Source documents
Call facts
- Opens
- 17 Nov 2026
- Deadline model
- Single-stage
- Programme
- Horizon Europe · 2021 - 2027
- Call
- HORIZON-CL4-2027-04 · DIGITAL
- Types of action
- HORIZON Innovation Actions
- Keywords
- Artificial Intelligence
- Integration
- Robotics
- Source
- ec.europa.eu
- Checked
- 24 Oct 2026
- Portal updated
- 19 Oct 2026
- Review status
- Partial review
- Reviewed
- 23 Oct 2026
This is a summary of the source page, not the official text. Eligibility, conditions and the submission system are at the source.