The project aims at reducing the sample and model complexity of robot learning algorithms. For that, known physical equations are merged with machine learning models in order to adapt faster to unknow
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 flagship project "Collaborative Processes and Services for Aeronautics and Space" (COOPERANTS) is a project funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK). The proje
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
In-orbit servicing and in-orbit manufacturing operations are becoming increasingly important in todays and future space applications. Almost all potential applications require the ability to interact
The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. These intelligent robots must be versatile, adaptive a
For service operations on satellites or the exploration of foreign planets, robotic systems will be of particular interest in the future, as they are relatively inexpensive compared to manned space fl
In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel distance of 500km. This eliminates the need for supply v
The project CoRob-X develops and demonstrates enabling technologies for multi-agent robotic teams. The primary target application is the exploration of planetary surfaces, with a focus on hard-to-reac