Projects

EINHORN – Entwicklung von menschenzentrierten Systemen zur dialogorientierten Interaktion mit erklärbaren KI-Methoden für Prozessintelligenz

Die rasante Entwicklung im Bereich KI, sowohl bei Maschinellem Lernen und sogenannten Large Language Models (LLM), die für die Sprachinteraktion von Bedeutung sind, ermöglichen immer mehr Einsatzgebie

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

LIEREx – Language-Image Embeddings for Robotic Exploration

"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

SIGN-HEP – Safe and industrially applicable normed HSM based on open EDA tools and processors

Open source approaches in hardware design have received increased attention in recent years; there are many promising approaches, but not yet industry-wide acceptance as in the software area. This pro

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

Partners TRUMPF Werkzeugmaschinen SE + Co. KG

TwinMaP – Digital twin of a heterogeneous machine park for the complete machining of components

The TwinMaP project focuses on the development of innovative concepts for digital twins of factory workers in assembly and pre-assembly. While other partners integrate digital twins of machines and sy

NEARBY – Noise and variability-free BCI systems for out-of-the-lab use

Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for

DACE – Data Competence Centre for Circular Economy Data

The aim of the circular economy (CE) is to enable sustainable development through the effective and efficient use of materials by minimising the extraction of resources from the environment as well as

FAIRe – Frugal Artificial Intelligence in Resource-limited environments

Artificial intelligence (AI) is finding increasingly diverse applications in the physical world, especially in embedded, cyber-physical devices with limited resources and under demanding conditions. T

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