Objective
SYNERGIA aims to address the limitations of current virtual training and support systems, which remain rigid, scripted and unable to respond to the cognitive, emotional and accessibility needs of diverse users. This lack of adaptivity undermines safety, inclusiveness and trust in domains where human-machine interaction is critical, from industrial assembly to healthcare rehabilitation and human-robot collaboration. The project envisions the next generation of Generative AI for Virtual Worlds, combining multimodal sensing, immersive content creation and explainable governance into a coherent framework for hyper-personalised, human-centric interaction. It builds upon 4 key pillars: (i) lightweight multimodal inference models capturing facial, vocal, gestural and physiological cues in real time, deployable at the edge with privacy protection; (ii) generative 3D assistants capable of emotionally responsive, multilingual and accessible interaction, including gesture and sign language; (iii) immersive pipelines that transform text, images and video into adaptive 3D environments with dynamic storytelling and collaborative scenario generation; and (iv) a GDPR-compliant learning dataspace ensuring interoperability, user control, explainability and trustworthy governance. Starting at TRL 4-5 and progressing to TRL 6-7, the approach will be validated through pilots in machine assembly and maintenance, personalised speech therapy for Parkinson’s patients, road-safety training for cognitively diverse learners, and human-robot collaboration in complex industrial contexts. These pilots will provide quantifiable evidence of impact, including at least 25% performance improvement, 30% reduction in training time and enhanced accessibility for vulnerable groups. By integrating social sciences and humanities expertise, ethics-by-design principles and pathways to standardisation, SYNERGIA aims to deliver exploitable toolkits and contribute to European and international standards.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences speech-language pathology
- medical and health sciences clinical medicine physiotherapy
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.2 - Key Digital Technologies
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HORIZON.2.4.5 - Artificial Intelligence and Robotics
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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.
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.
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-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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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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.
265 04 RIO PATRAS
Greece
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.