Projects

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 …

MASTER – MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) …

HARTU – Work-Piece-Handling - Reusable robot capacities and skills for part handling in manufacturing environments

HARTU (Handling with AI-enhanced Robotic Technologies for flexible ManUfacturing) will provide components for automatic planning and control of …

SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding …

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. …

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 …

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 …

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 …