Simulationsmodelle der Virtuellen Inbetriebnahme als Lernumgebung für Reinforcement Learning. In Alexander Verl, Sascha Röck, und Christian Scheifele (Hrsg.), Echtzeitsimulation in der Produktionsautomatisierung: Beiträge zu Virtueller Inbetriebnahme, Digitalem Engineering und Digitalen Zwillingen, 213--227, Springer Berlin Heidelberg, Berlin, Heidelberg, 2024. [PUMA: myown simulation learning isw] URL
Virtual Commissioning Simulation as OpenAI Gym - A Reinforcement Learning Environment for Control Systems. 2022 5th International Conference on Artificial Intelligence for Industries (AI4I), 64-67, September 2022. [PUMA: myown virtual learning isw commissioning]
Adaptive compensation of the transmission errors in rack-and-pinion drives. In CIRP Annals Manufacturing Technology (Hrsg.), CIRP Annals, (71)1:345--348, Elsevier BV, 2022. [PUMA: tool Learning Compensation Feed drive Machine] URL
Reinforcement learning methods based on GPU accelerated industrial control hardware. Neural Computing and Applications, 2021. [PUMA: myown Real-time Industrial PLC Manufacturing Reinforcement learning GPU control isw] URL
On solving the inverse kinematics problem using neural networks. 2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 1-6, November 2017. [PUMA: robotics, machine learning]
A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths. In Jürgen Beyerer, Oliver Niggemann, und Christian Kühnert (Hrsg.), Machine Learning for Cyber Physical Systems, 1--8, Springer Berlin Heidelberg, Berlin, Heidelberg, 2017. [PUMA: automation cnc machine learning]
Machine Learning in Steuerungstechnik und Robotik. SPS MAGAZIN, (30)12 2017:42--44, 2017. [PUMA: Learning grk2198 Steuerungstechnik Machine]
Estimation of stability lobe diagrams in milling with continuous learning algorithms. Robotics and Computer-Integrated Manufacturing, -, 2015. [PUMA: myown Support algorithms Process network xvl Learning Milling xfh vector machines xlr Neural stability] URL
Continuous learning support vector machine to estimate stability lobe diagrams in milling. Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, University of Texas at San Antonio, 2014. [PUMA: myown stbaility Support Process xvl isw Learning Milling xfh vector machines xlr algorithm] URL