39 citations · 41 across the 10 of their papers we have counts for
4 papers · 1 filter
Evaluating Large Language Models for Real-World Engineering Tasks
Rene Heesch, Sebastian Eilermann, Alexander Windmann +3
Large Language Models (LLMs) are transformative not only for daily activities but also for engineering tasks. However, current evaluations of LLMs in engineering exhibit two critic…
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems
Alexander Windmann, Philipp Wittenberg, Marvin Schieseck +1
In Industry 4.0, Cyber-Physical Systems (CPS) generate vast data sets that can be leveraged by Artificial Intelligence (AI) for applications including predictive maintenance and pr…
On a Uniform Causality Model for Industrial Automation
Maria Krantz, Alexander Windmann, Rene Heesch +2
The increasing complexity of Cyber-Physical Systems (CPS) makes industrial automation challenging. Large amounts of data recorded by sensors need to be processed to adequately perf…
A Research Agenda for AI Planning in the Field of Flexible Production Systems
Aljosha Köcher, Rene Heesch, Niklas Widulle +4
Manufacturing companies face challenges when it comes to quickly adapting their production control to fluctuating demands or changing requirements. Control approaches that encapsul…