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Projects

Displaying results 1 to 10 of 11.
  1. COPPER – Continual Optical Perception for Dynamic Environments in and around of Vehicles

    COPPER – Continual Optical Perception for Dynamic Environments in and around of Vehicles

    The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In particu

  2. BERTHA – BEhavioural Replication of Human drivers for CCAM

    BERTHA – BEhavioural Replication of Human drivers for CCAM

    The Horizon Europe project BERTHA kicked off on November 22nd-24th in Valencia, Spain. The project has been granted €7,981,799.50 from the European Commission to develop a Driver Behavioral Model (DBM

  3. FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend comprehensively from the application layer to the physi

  4. HAI-x – Hybrid AI explainer

    HAI-x – Hybrid AI explainer

    More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as well as optimise complex processes and decision-makin

  5. CALAHARI – CALamity Adaptes HARvesting Innovation

    CALAHARI – CALamity Adaptes HARvesting Innovation

    CALAHARI is a vision for a robot-assisted, semi-autonomous timber harvesting process. The synthesis of the requirements analysis for successful implementation in the forestry industry and the assessme

  6. 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

  7. 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

  8. M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

    M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

    The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. These intelligent robots must be versatile, adaptive a

  9. 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

  10. TransFit – Flexible interaction for infrastructures establishment by means of teleoperation and direct collaboration; transfer into industry 4.0

    TransFit – Flexible interaction for infrastructures establishment by means of teleoperation and direct collaboration; transfer into industry 4.0

    TransFIT is part of the space road map of the DFKI RIC. The project does focus on the assembly and installation of infrastructure for space applications by humans and robots either autonomously or in