Robin Ströbel, M.Sc.
- Research Associate
- department: Machines, Equipment and Process Automation
- office hours: to be agreed
- room: 025, Geb. 70.16
- phone: +49 1523 9502603
- robin stroebel ∂does-not-exist.kit edu
76131 Karlsruhe
Kaiserstraße 12
Ströbel Robin, M.Sc.
Area of Research:
- Software-defined Manufacturing and digital Twins
- Industrie 4.0
General Tasks:
- Coordination of lecture Steuerungstechnik
- Demonstration Center I4.0
Projects:
- SDM4FZI: Software-defined Manufacturing in der Fahrzeug- und Zulieferindustrie
- SDMflex : Flexible SDM through Continuously Self-Learning Quality-Aware Digital Twins
Curriculum Vitae:
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since 04/2022 |
Research Associate at the Institute of Production Science (wbk) at Karlsruhe Institute of Technology (KIT) |
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10/2019-03/2022 |
Study of mechanical engineering (M.Sc.) at Karlsruhe Institute of Technology (KIT) |
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09/2017-01/2018 |
Exchange semester at Jiaotong-Universität Shanghai (SJTU) |
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10/2015-09/2019 |
Study of mechanical engineering (B.Sc.) at Karlsruhe Institute of Technology (KIT) |
Publications
Software-Defined Manufacturing for the Entire Life Cycle at Different Levels of Production
Behrendt, S.; Martin, M.; Puchta, A.; Ströbel, R.; Fisel, J.; May, M.; Gönnheimer, P.; Fleischer, J.; Lanza, G.
2023. Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains : Stuttgart Conference on Automotive Production (SCAP2022). Ed.: N. Kiefl, 25–34, Springer International Publishing. doi:10.1007/978-3-031-27933-1_3
Behrendt, S.; Martin, M.; Puchta, A.; Ströbel, R.; Fisel, J.; May, M.; Gönnheimer, P.; Fleischer, J.; Lanza, G.
2023. Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains : Stuttgart Conference on Automotive Production (SCAP2022). Ed.: N. Kiefl, 25–34, Springer International Publishing. doi:10.1007/978-3-031-27933-1_3
Software-Defined Workpiece Positioning for Resource-Optimized Machine Tool Utilization
Ströbel, R.; Probst, Y.; Hutt, L.; Fleischer, J.
2023. Journal of Machine Engineering, 23 (1), 71–84. doi:10.36897/jme/161660
Ströbel, R.; Probst, Y.; Hutt, L.; Fleischer, J.
2023. Journal of Machine Engineering, 23 (1), 71–84. doi:10.36897/jme/161660
Generation of identifiable CNC reference runs with high information content for machine learning and analytic approaches to parameter identification
Gönnheimer, P.; Ströbel, R.; Netzer, M.; Fleischer, J.
2022. Procedia CIRP, 107, 734–739. doi:10.1016/j.procir.2022.05.054
Gönnheimer, P.; Ströbel, R.; Netzer, M.; Fleischer, J.
2022. Procedia CIRP, 107, 734–739. doi:10.1016/j.procir.2022.05.054