Projects

Currently, we are seeing an explosion in AI, primarily led by the advances in reinforcement learning (RL) methods as well as transformer-based neural networks. For example, large language models (LLMs

The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a

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

Robotics Institute Germany, national joint project of robotics research in Germany, coordinated by TU Munich The Robotics Institute Germany is an initiative by the Federal Ministry of Education and Re

Partners TRUMPF Werkzeugmaschinen SE + Co. KG

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

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

HARTU (Handling with AI-enhanced Robotic Technologies for flexible ManUfacturing) will provide components for automatic planning and control of gripping, release and contact assembly tasks and propose

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

Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts