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CSA on Access to European Spaceports

The funding call HORIZON-CL4-INDUSTRY-2025-01-TWIN-TRANSITION-02 focuses on advancing physical and cognitive augmentation in advanced manufacturing within the framework of the Made in Europe Partnership. It aims to develop breakthrough technologies that enhance human-machine interactions, thereby empowering workers and fostering a human-centric approach in manufacturing environments. The call encourages the integration of Social Sciences and Humanities (SSH) to address human-related barriers and promote inclusivity, safety, and well-being in industrial settings.

Opening: 22 May 2025

Deadline(s): 23 Sep 2025

Data provided by Sciencebusiness.net

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

Proposals should aim to achieve the following:

  1. Empowerment of workers:
    • Introduce advanced augmentation technologies for improved human-machine interaction.
    • Enhance teamwork and individual capabilities in factories.
  2. Improvement of working conditions:
    • Enhance flexibility, inclusiveness, safety, and well-being.
    • Make industrial jobs more attractive, especially for younger generations (e.g., Generation Z).
  3. Alignment with Industry 5.0 principles:
    • Focus on the human-centric approach.
    • Explore how augmentation technologies can assist workers in their careers and improve job satisfaction.

Scope

Proposals must address all the following aspects:

  1. Development of breakthrough technologies:
    • Utilize mechatronics, photonics, and other advanced tools for human-centric approaches.
    • Implement perception technologies for shopfloor awareness and prediction of human intentions.
  2. AI-driven methodologies:
    • Develop AI systems for reasoning, control, and interaction.
    • Promote efficiency, knowledge sharing, inclusivity, accessibility, and flexibility.
  3. Inclusion of stakeholders in design:
    • Assess needs of workers and managers from the design phase.
    • Ensure skill development for implementing these solutions.
  4. New assessment methodologies:
    • Perform value-added assessments and validate systems.
    • Optionally employ digital twin models for virtual validation scenarios.
  5. Social Sciences and Humanities (SSH) contributions:
    • Address barriers such as ergonomics, comfort, trust, safety, and liability.
    • Include perspectives on age, gender, and other human factors.
    • Optionally engage social partners for broader insights.

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