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Projects

Displaying results 11 to 20 of 34.
  1. CanvAAS 2 – Connected Assets iNteroperability framework Via AAS

    CanvAAS 2 – Connected Assets iNteroperability framework Via AAS

    CanvAAS 2 ist ein erweitertes Projekt von CanvAAS. CanvAAS 2 soll die bereits entwickelte CanvAAS API im Bezug ihren Synchronisationsmechanismus zwischen physischen Assets und ihren digitalen Darstell

  2. PHYSICS – Optimized hybrid space-time service continuum in FAAS

    PHYSICS – Optimized hybrid space-time service continuum in FAAS

    PHYSICS’s vision is to address the aforementioned challenges and empower application developers, platform owners and infrastructure providers (e.g. Cloud, Edge etc). For the former, the goal is to eas

  3. STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

    STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

    STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environme

  4. ReCircE – Digital Lifecycle Record for the Circular Economy

    ReCircE – Digital Lifecycle Record for the Circular Economy

    Kunststoffmüll ist ein Problem. Weltweit. Der Grund: Kunststoff ist meist verbaut und Teil eines komplexen Produktes: Auto, Kühlschrank, Lederschuh oder Smartphone. Materialanalyse, -trennung und Recy

  5. MAS4AI – Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments

    MAS4AI – Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments

    Development of a multi-agent-based technology for the integration of AI algorithms in autonomous modular production with worker assistance. Partners DMD Med Tech InTechCentras LMS tecnalia aimen TNO U

  6. RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

    RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

    The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or procedur

  7. DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, system or process that simulates its physical attri

  8. InCoRAP – Intentionsbasierte kooperative Roboterhandlungsplanung und Werkerunterstützung in Fabrikumgebungen

    InCoRAP – Intentionsbasierte kooperative Roboterhandlungsplanung und Werkerunterstützung in Fabrikumgebungen

    The InCoRAP project investigates human-robot interaction in factory environments, taking into account human intention. This allows for a smooth interaction between humans and robots, since the robot c

  9. Akzent4BaSys – Aktives werkerzentriertes Shopfloor-Interaktionssystem für BaSys zur flexiblen Informationsbereitstellung für den Mitarbeiter

    Akzent4BaSys – Aktives werkerzentriertes Shopfloor-Interaktionssystem für BaSys zur flexiblen Informationsbereitstellung für den Mitarbeiter

    Akzent4BaSys ermöglicht dem Werker einen flexiblen Zugang zu Informationen der Maschinenebene, die wiederum für den weiteren Austausch mit Kollegen, wie z.B. Instandhalter, Maschinenführer oder Produk

  10. DIMOFAC – Digital Intelligent MOdular FACtories

    DIMOFAC – Digital Intelligent MOdular FACtories

    The digitalization of industry opens the path for mass customization but requires leveraging the existing manufacturing ecosystems and establishing a collaborative manufacturing environment. DIMOFAC p