Projects

Within the MikroBeM project we investigate the impact of real micro- and hypergravity on fine motor and cognitive learning states, workload conditions, and movement kinematics, analyzing biological si

Co-adaptation to enable and improve exoskeleton-based (tele-) rehabilitation

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

Within the project „NoGravExSystem“ we will analyze on the level of bio signals, in particular in EEG and EMG, if hyper- and micro gravity simulated by an exoskeleton is comparable to real hyper- and

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

The main goal of the EXPECT project is the development of an adaptive, self-learning platform for human-robot collaboration that not only enables various types of active interaction, but is also capab

The overall objective of AdaMeKoR is the development of an adaptive and multifunctional motorized bed with robotic arm system for use in nursing. For this purpose, sensor components are developed, e.g

The aim of the project is to support researchers in the design, evaluation and subsequent mediation of networked objects. For this purpose, a flexible concept is pursued, in which both established Liv

MindBot aims at identifying methods and implementing solutions for promoting good mental health in the emerging industry 4.0 within the specific context of manufacturing small and medium-sized enterpr

Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement can be made about their correctness. In contrast, t