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PREVLA: Unified Vision-Language-Action Model via Integrated Perception-Reasoning-Execution for Generalized Embodied Robotic Intelligence

Objective

Current embodied AI systems are fundamentally limited by core generalization bottlenecks, preventing robots from adapting to the complexities of real-world tasks. This deficit creates a critical disconnect between perception, reasoning, and execution, hindering the development of truly autonomous systems.

This fellowship introduces PREVLA, a unified cognitive framework designed to systematically solve these challenges. The project will achieve generalized Vision-Language-Action capabilities through three synergistic objectives: (1) to achieve Perception Generalization across complex and diverse scenarios by developing novel multimodal alignment techniques; (2) to achieve Reasoning Generalization across open-vocabulary instructions by creating semantically-stabilized architectures capable of robust visual imagination; and (3) to achieve Execution Generalization across diverse robotic platforms by pioneering real-time, parallel action frameworks that eliminate discretization degradation.

This ambitious vision will be realized through a work plan engineered to deliver a pathway from theoretical breakthrough to industrial impact. The project will translate cutting-edge machine learning methodologies—masked self-supervised learning for perception, mixture-of-experts (MoE) architectures for reasoning, and flow matching for execution—into a unified framework. The project's breakthrough will empower robots to perform complex, multi-step manipulation from natural language, significantly advancing the state-of-the-art. The project's scientific impact will be driven by a strategy of targeting high-impact publications and the full open-source release of the PREVLA framework. By addressing key market deployment barriers, this research holds significant potential to enhance European competitiveness in manufacturing and healthcare. The project's ultimate vision is to contribute to a future where human-robot collaboration is safe, intuitive, and efficient.

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Keywords

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Programme(s)

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Topic(s)

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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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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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-MSCA-2025-PF

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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
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.

€ 260 347,92
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom

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Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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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.

No data