3 papers
cs.HC2026
Beyond touch-based human-machine interface: Control your machines in natural language by utilizing large language models and OPC UA
Bernd Hofmann, Niklas Piechulek, Sven Kreitlein +2
This paper proposes an agent-based approach toward a more natural interface between humans and machines. Large language models equipped with tools and the communication standard OP…
cs.CV2025
PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments
Bernd Hofmann, Albert Scheck, Joerg Franke +1
The detection of anomalies in manufacturing processes is crucial to ensure product quality and identify process deviations. Statistical and data-driven approaches remain the standa…
cs.LG2025
Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series
Bernd Hofmann, Patrick Bruendl, Huong Giang Nguyen +1
Ensuring consistent product quality in modern manufacturing is crucial, particularly in safety-critical applications. Conventional quality control approaches, reliant on manually d…