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

COPPER – Continual Optical Perception for Dynamic Environments in and around of Vehicles

The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In particu

EYE-TEACH – Eye-tracking and AI for Enhanced Teaching

The concept being developed relates to researching the intersection of AI, Eye Tracking, and Literacy Development/ Reading Skill Development. AI systems offer potential benefits for supporting teacher

MikroBeM – Auswirkung von simulierter und realer Mikrogravitation auf die Bewegungskinematik des (un)trainierten Menschen

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

CoEx – Entwicklung von Methoden zur Co-Adaptation für die Ermöglichung und Verbesserung von Exoskelett-basiertee (Tele-) Rehabilitation

Co-adaptation to enable and improve exoskeleton-based (tele-) rehabilitation

STELEC – sustainable textile electronics

STELEC, short for Sustainable Textile ELECtronics, is an interdisciplinary research project funded by the European Innovation Council (EIC) under the Pathfinder programmes in the responsible electroni

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

NoIDLEChatGPT – No-IDLE meets ChatGPT

Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI) m

KiCoPro – KI-basierter Copilot für die Prozessmodellierung

Das Geschäftsprozessmanagement (GPM) ist ein maßgeblicher Faktor, um Digitalisierungsstrategien erfolgreich umzusetzen. Vielen KMUs fehlt es allerdings an Kompetenzen sowie finanziellen Mitteln, um en