Projects

ActGPT – Adaptive robot ConTrol with Generative Pre-trained Transformers

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

RAASCEMAN – Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

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

MAC-MERLin – Multi-Level Abstractions and Causal Modeling for Enhanced Reinforcement Learning

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

RIG – Robotics Institute Germany

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

SC_Kleer – MultiGrasp: Multimodal Grasp Type Prediction for Dexterous Multi-fingered Robotic Grasping

Partners TRUMPF Werkzeugmaschinen SE + Co. KG

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 comprehensively from the application layer to the physi

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) technologies have reached sufficient maturity to enter the

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 gripping, release and contact assembly tasks and propose

Adra-e – AI, Data and Robotics ecosystem

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

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 environment on a perceptual non-symbolic level (e