Projects

ML-Bau-Doc+ – Maschinelles Lernen zur Informationsextraktion im Bereich Gebäudedokumentation

Die im Vorgängerprojekt „Maschinelles Lernen im Bereich Gebäudedokumentation (ML-BALI-DOK)" (https://www.zukunftbau.de/projekte/forschungsfoerderung/1008187-2026) entwickelten Algorithmen ermöglichen

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

KI4KL – KI für Kommunale Leistungen

In Antwort auf die Ausschreibung Nr. 10/4.1-2023-0335 der Stadt Gelsenkirchen hat die Westfälische Hochschule ein Angebot „für den Aufbau und Betrieb eines Anwendungszentrums Künstliche Intelligenz fü

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

TrustifAI – Mission Kl Innovation- and Quality Center (IQZ) Kaiserslautern (TrustifAI - Health and Wellbeing)

Trustworthy AI applications for a secure future Under the leadership of acatech – National Academy of Science and Engineering, MISSION KI aims to strengthen the trustworthiness and reliability of AI a

SimPROLEG – Development of an AI-supported software tool based on bio- / structural-mechanical replacement models to improve and shorten the design process of prosthetic leg sockets

The Essentials in 30 Seconds The SimPROLEG project pursues the goal to improve and make the development of customized leg prosthesis sockets more efficient through AI-based simulation of the loads in

Albatross – Applications for Lifelong Based Algorithms Targeting Robust Optimization on Sustainable Settings

At its core, Albatross is a research project in the area of continual learning. Continual Learning is an approach in artificial intelligence and machine learning where models learn and adapt continuou

3S-II – AI-based detection of steroid sample swapping in the anti-doping area and analysis of the associated decision-making processes

Anti-doping analyses are important in maintaining fairness and integrity in sports, with robust measures required to fight against cheating and doping. Recent advancements have shown the potential for

IUML – Interpretability in Unsupervised Machine Learning

To foster trust, accountability, and informed decisions, it is crucial to develop methods for comprehending and explaining how these models arrive at their conclusions, thus accelerating industrial ad

Taxas – Tax-aware Intelligent Document Analytics

Die Dokumentenverarbeitung stellt einen großen Teil des täglichen Arbeitsaufkommens in Unternehmen dar und bietet ein hohes Potenzial zur Optimierung und Automatisierung. Ziel des Projekts Taxas (Tax-