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Projects

Displaying results 1 to 7 of 7.
  1. No-IDLE – Interactive Deep Learning Enterprise

    No-IDLE – Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision …

  2. MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by …

  3. FLUENTLY – Fluently - the essence of human-robot interaction

    FLUENTLY – Fluently - the essence of human-robot interaction

    Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while …

  4. 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 …

  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 …

  6. PRIME – Predictive Rendering in Manifacture and Engineering

    PRIME – Predictive Rendering in Manifacture and Engineering

    The PRIME project stands for Predictive Rendering in Manufacture and Engineering and aims to establish an innovative training network where PhD …

  7. 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 …