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Projects

Displaying results 11 to 17 of 17.
  1. GreifbAR – Greifbare Realität - geschickte Interaktion von Benutzerhänden und -fingern mit realen Werkzeugen in Mixed-Reality Welten

    GreifbAR – Greifbare Realität - geschickte Interaktion von Benutzerhänden und -fingern mit realen Werkzeugen in Mixed-Reality Welten

    On 01.10.2021, the research project GreifbAR started under the leadership of the DFKI (research area Augmented Reality). The goal of the GreifbAR project is to make mixed reality (MR) worlds, includin

  2. Open6GHub – 6G for Society and Sustainability

    Open6GHub – 6G for Society and Sustainability

    The project "Open6GHub" develops a 6G vision for sovereign citizens in a hyper-connected world from 2030. The aim of the Open6GHub is to provide contributions to a global 6G harmonization process and

  3. ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen  mittels Internet-of-Things und Mixed Reality

    ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen mittels Internet-of-Things und Mixed Reality

    MOTIVATION Ergonomische Fehlhaltungen tragen zu einem erhöhten Krankenstand und einem gesundheitsbedingten frühen Ausscheiden aus der Arbeitswelt bei. Häufig scheitern Lösungsansätze in der Realität a

  4. BaSySafe – Software-based risk assessment based on asset administration shells for safe human-machine interaction

    BaSySafe – Software-based risk assessment based on asset administration shells for safe human-machine interaction

    Manufacturers and operators of systems in industrial manufacturing are required by law to prepare an assessment of the risks and hazards that may arise from the operation of the machines in order to e

  5. 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

  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. 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