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Projects

Displaying results 1 to 6 of 6.
  1. TwinMaP – Digital twin of a heterogeneous machine park for the complete machining of components

    TwinMaP – Digital twin of a heterogeneous machine park for the complete machining of components

    The TwinMaP project focuses on the development of innovative concepts for digital twins of factory workers in assembly and pre-assembly. While other partners integrate digital twins of machines and sy

  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 integrating robustness and explainability. The aim of the pr

  3. Adra-e – AI, Data and Robotics ecosystem

    Adra-e – AI, Data and Robotics ecosystem

    Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

  4. ENGAGE – NExt GeNeration ComputinG Environments for Artificial intelliGEnce

    ENGAGE – NExt GeNeration ComputinG Environments for Artificial intelliGEnce

    ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. Advances in machine learning algorithms and hardware

  5. AiToC – Artificial Intelligence supported Tool Chain in Manufacturing Engineering

    AiToC – Artificial Intelligence supported Tool Chain in Manufacturing Engineering

    In the application areas of production planning and engineering, the lack of interoperability between tools, methods and formats is still a common problem. The aim of the project "Artificial Intellige

  6. COGNITWIN – Cognitive Digital Twin

    COGNITWIN – Cognitive Digital Twin

    This project aims to develop the next generation of the digital twin, which is self-learning and proactive. This means firstly, it learns from existing, real data to run like processes. Secondly, it c