Summary

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on "Optimization of automated visual inspection of common rails using neural networks". She has been working as a researcher at the Chair of Machine Tools and Control Systems since November 2017.

Research Fields

Tatjana Legler deals with the use of artificial intelligence in the production environment. This includes, for example, the analysis of process data for the prediction of product quality and federated learning.

Publications

ORCID

V. Hegiste, T. Legler and M. Ruskowski, Application of Federated Machine Learning in Manufacturing, 2022. International Conference on Industry 4.0 Technology (I4Tech),  1-8. Link

M. Volkmann, A. Sidorenko, A. Wagner, J. Hermann, T. Legler, M. Ruskowski, Integration of a feasibility and context check into an OPC UA skill, 2021. IFAC PapersOnLine 54 (1), 276-281. Link

M. Volkmann, T. Legler, A. Wagner, M. Ruskowski, A CAD feature-based manufacturing approach with OPC UA skills, 2020. Procedia Manufacturing 51, 416-423. Link

M. Ruskowski, T. Legler, M. Beetz, G. Bartels, Special Issue on Smart Production, 2019. KI - Künstliche Intelligenz 33(2), 111-116. Link