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Generative Robotics & AI for EU Industrial Leadership

Objective

GRAIL addresses Europe’s need for trustworthy, sovereign GenAI in robotics, lowering adoption barriers in manufacturing while respecting AI Act, GDPR, and NIS2. It strengthens technological sovereignty and competitiveness while tackling the robotics data gap: existing sources (teleoperation, egocentric video, simulation) cover only a fraction of the data needed for robust foundation models. Unlike in text and vision, robot data cannot simply be scaled: collection is slow, costly, and infeasible at trillion-scale. Bridging this gap requires modularity, knowledge reuse, and targeted data generation rather than brute-force collection.
Monolithic approaches are data-inefficient, struggle with explainability and fail to cope with industrial complexity. GRAIL is an agentic integrated architecture where modularity and integration reinforce each other. Specialised agents address planning, grounding, and control, while integration ensures collaboration over a common latent substrate. Human centricity is ensured by decoding agent behaviour into rationales understandable by workers, allowing them to follow, trust, and intervene through HITL&HOTL mechanisms. This enables continuous learning, cross-embodiment skill reuse (collaborative and industrial arms, humanoids), and distillation for deployment on edge devices. Predictive world models, deterministic fallbacks, and runtime safeguards ensure robots reason, adapt, and act safely under physical constraints.
Impact is driven by 10 industrial partners and 5 use cases (automotive, aerospace, intralogistics, steel, electronics), validated on 10+ robots. GRAIL scales through 40+ FSTP projects and 4 Test Hubs, supported by EuroHPC and national HPC, with model compression and federated learning reinforcing efficiency and sustainability. It delivers verifiable competence, safeguards trust through risk monitors, cyber testing, and ethical governance, and ensures interoperability through AIoD, balancing open access and EU sovereignty.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2025-03

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Coordinator

FUNDACIO EURECAT
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 18 623 372,50
Address
AVENIDA UNIVERSITAT AUTONOMA 23
08290 Cerdanyola Del Valles (Barcelona)
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 18 623 372,50

Participants (18)

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