output
20242026
most citedKnowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis

54 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.RO2026

Planning Method for Skill-Based Control of Robots Using a PLC as Skill Trigger

Andreas Gaugenrieder, Hari Hara Balasubramaniam, Jannik Möhrle +1

Skill-based programming of robots provides a flexible approach for automation. Existing solutions neglect the optimization of motion sequences, leading to inefficiencies in executi…

cs.CV2026

Multi-Level Feature Fusion for Continual Learning in Visual Quality Inspection

Johannes C. Bauer, Paul Geng, Stephan Trattnig +2

Deep neural networks show great potential for automating various visual quality inspection tasks in manufacturing. However, their applicability is limited in more volatile scenario…

cs.LG2025★ 1 cited

Sensitivity analysis of image classification models using generalized polynomial chaos

Lukas Bahr, Lucas Poßner, Konstantin Weise +2

Integrating advanced communication protocols in production has accelerated the adoption of data-driven predictive quality methods, notably machine learning (ML) models. However, ML…

cs.NE2024

Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming

Henning Cui, Andreas Margraf, Jörg Hähner

Cartesian Genetic Programming (CGP) suffers from a specific limitation: Positional bias, a phenomenon in which mostly genes at the start of the genome contribute to a program outpu…

cs.IR2024★ 54 cited

Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis

Lukas Bahr, Christoph Wehner, Judith Wewerka +3

Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness…