Publications

Florian Jaensch, und Alexander Verl. 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

Florian Jaensch, Lars Klingel, und Alexander Verl. 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]

Alexander Verl, und Lukas Steinle. 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

Alexander Schmidt, Florian Schellroth, Marc Fischer, Lukas Allimant, und Oliver Riedel. 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

A. Csiszar, J. Eilers, und A. Verl. 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]

Caren Dripke, Sara Höhr, Akos Csiszar, und Alexander Verl. 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]

Akos Csiszar, Florian Jaensch, Annika Kienzlen, und Christian Scheifele. Machine Learning in Steuerungstechnik und Robotik. SPS MAGAZIN, (30)12 2017:42--44, 2017. [PUMA: Learning grk2198 Steuerungstechnik Machine]

Jens Friedrich, Christoph Hinze, Anton Renner, Alexander Verl, und Armin Lechler. 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

Jens Friedrich, Henning Hartmann, Alexander Verl, und Armin Lechler. 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