Learning systems and cognitive robotics
The AI Innovation Center "Learning Systems and Cognitive Robotics" supports companies in exploiting the economic opportunities offered by artificial intelligence and machine learning in particular. In application-oriented research projects and in direct cooperation with industrial companies, the Stuttgart-based Fraunhofer Institutes for
Current projects
ML-supported prediction of screw straightening quality
This is a quote Arthur Dent Fraunhofer IAO Contact at the AI Advancement Center Fraunhofer Contact - Name Placeholder andreas.frommknecht@ipa.fraunhofer.de
AI agent system for scheduling
This is a quote Arthur Dent Fraunhofer IAO Contact at the AI Advancement Center Fraunhofer Contact - Name Placeholder andreas.frommknecht@ipa.fraunhofer.de
Potential for the use of AI in electronic manufacturing services (EMS)
This is a quote Arthur Dent Fraunhofer IAO Contact at the AI Advancement Center Fraunhofer Contact - Name Placeholder andreas.frommknecht@ipa.fraunhofer.de
EnayaKI (Enayati Calculation Interface)
This is a quote Arthur Dent Fraunhofer IAO Contact at the AI Advancement Center Fraunhofer Contact - Name Placeholder andreas.frommknecht@ipa.fraunhofer.de
Current publications
XAI for debugging ML models
State of the art and recommendations for organizations This study discusses the use of explainable AI (XAI) methods for debugging AI models. While XAI methods ideally support the debugging of...
Metrics in machine learning
This study examined the use of metrics for quality assurance of AI systems throughout the entire ML lifecycle, from data preparation, feature engineering and training to inference....
Industrial Metaverse in Cognitive Robotics
Market Analysis and Research Gaps The aim of the study is to systematically analyze the Industrial Metaverse in cognitive robotics and to identify market potentials, application fields, and development needs. Through the...
Unlocking business documents with RAG
How to Chat with Your Own Data Using Retrieval-Augmented Generation This study offers a concise overview of Retrieval Augmented Generation (RAG), an approach where information from a selection...
Project partners
The AI Innovation Center receives financial support from the Ministry of Economic Affairs, Labor and Tourism.
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Research partners
Research partners
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