Projects

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 …

ReCircE – Digital Lifecycle Record for the Circular Economy

Kunststoffmüll ist ein Problem. Weltweit. Der Grund: Kunststoff ist meist verbaut und Teil eines komplexen Produktes: Auto, Kühlschrank, Lederschuh …

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 …

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 …

CAMELOT – Continuous Adaptive Machine-Learning of Transfer of Control Situations

A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer …

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 …

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 …

APRIL – Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes

The APRIL project aims at prototyping low cost and agile market-oriented multipurpose, and easy to repurpose, autonomous dexterous robots; which will …

KICK – Künstliche Intelligenz in Kommunikationsnetzen

Das Ziel von KICK ist es, den Betrieb von künftigen 5G-Campus-Netzen durch den Einsatz von KI-Methoden signifikant zu vereinfachen und zu verbessern. …

Fast&Slow – Combination of Symbolic and Subsymbolic Methods

Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement …