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Research Departments: Robotics Innovation Center Research Topics: Machine Learning & Deep Learning Research Topics: Robotics
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Displaying results 11 to 20 of 23.
  1. NoStrandAMust – NoStrandAMust - Bodenkontaktsimulation zur Verbesserung der Lokomotionsperformance mobiler Roboter

    NoStrandAMust – NoStrandAMust - Bodenkontaktsimulation zur Verbesserung der Lokomotionsperformance mobiler Roboter

    NoStrandAMust is a project with the goal of experimentally investigating the ground interaction of different robots and generating models for the …

  2. MaLeBeCo – Machine Learning Application Benchmarking on COTS Inference Processors

    MaLeBeCo – Machine Learning Application Benchmarking on COTS Inference Processors

    The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several …

  3. 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. …

  4. MODKOM – Modular components as Building Blocks for application-specific configurable space robots

    MODKOM – Modular components as Building Blocks for application-specific configurable space robots

    For service operations on satellites or the exploration of foreign planets, robotic systems will be of particular interest in the future, as they are …

  5. INSYS – INTerpretable monitoring SYStems

    INSYS – INTerpretable monitoring SYStems

    The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic …

  6. DeeperSense – Deep-Learning for Multimodal Sensor Fusion

    DeeperSense – Deep-Learning for Multimodal Sensor Fusion

    The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their …

  7. TRIPLE-nanoAUV 1 – Localisation and perception of a miniaturized autonomous underwater vehicle for the exploration of subglacial lakes

    TRIPLE-nanoAUV 1 – Localisation and perception of a miniaturized autonomous underwater vehicle for the exploration of subglacial lakes

    The aim of the TRIPLE project line is to design and build a system for scientific exploration of subglacial lakes while validating the associated …

  8. QINROS – QINROS - Quanten computing and quantum machine learning for intelligent and robotic systems

    QINROS – QINROS - Quanten computing and quantum machine learning for intelligent and robotic systems

    The goal of QINROS, based on the Artificial Intelligence (AI) in Quantum Computing agenda of the Robotics Working Group and DFKI RIC, is to …

  9. HaLeR – HaLeR - Detection of action deviations through learning with limited computing resources

    HaLeR – HaLeR - Detection of action deviations through learning with limited computing resources

    The HaLeR project aims to develop solutions for a flexible and adaptive MMI. The developed methods should allow a system to react and adapt flexibly …

  10. SmartRecycling – SmartRecycling - AI and Robotics for a sustainable circular economy

    SmartRecycling – SmartRecycling - AI and Robotics for a sustainable circular economy

    Partners Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI) Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH …

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