Result available in https://github.com/CAELESTIS-Project-EU/AMLtool to facilitate further modelling of workflows. Automates data traceability and model exchange between CAD, CAM, and digital twin environments (e.g. AddPath + AddControl). Contribution to ongoing standardisation initiative via dissemination e.g. https://www.automationml.org/organisation/vision-mission/ See deliverable D7.3. – Innovation roadmap, including recommendations towards simulation assisted. Further R&D through collaboration via integration into AI-driven process platforms. HORIZON-CL4-2027-02-DIGITAL-EMERGING-52: Human/AI collaboration for the workforce of the future (RIA); exploitation through industry uptake within Made in Europe Partnership topics.
Addressing target audiences and expressing needs
- Use of research Infrastructure
- Collaboration
We are seeking industrial collaborators to pilot AutomationMLtool in production settings, as well as regulatory partners to assess its fit for compliance-ready workflow management. Feedback from practitioners and potential investors is important to guide further product development and market uptake.
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
Currently at lab prototype stage, AutomationMLtool will be further developed through R&D collaborations, industrial pilots, and regulatory consultations to scale and refine its features for market adoption in digital manufacturing and engineering.
