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

Das Projekt Multi-Level Abstractions and Causal Modeling for Enhanced Reinforcement Learning (MAC-MERLin) zielt darauf ab, durch die Nutzung von Multi-Level-Abstraktionen in Kombination mit kausaler M

"Robot, bring me a cup!" This seemingly simple instruction often poses significant problems for robots. A robot can use semantic maps to query the positions of objects, but those objects may not even

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

The aim of the TRIPLE project line is to design and build a system for scientific exploration of subglacial lakes while validating the associated functions in close cooperation with marine and space s

Space travel with human astronauts is associated with enormous costs and hazards without offering an immediate return on investment. Thus, the exploration of planets is and will primarily be carried o

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the

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

NoStrandAMust is a project with the goal of experimentally investigating the ground interaction of different robots and generating models for the interaction using AI methods. These models are to be u

The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several different use-cases have been proposed to be selected fo