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
Training and validation dataset 3 of milling processes for time series prediction
Ströbel, R.; Mau, M.; Kader, H.; Erd, D.; Bless, D.; Deucker, S.; Puchta, A.; Fleischer, J.; Noack, B.
2024, June 18. doi:10.35097/feFwILjideOropmh
Ströbel, R.; Mau, M.; Kader, H.; Erd, D.; Bless, D.; Deucker, S.; Puchta, A.; Fleischer, J.; Noack, B.
2024, June 18. doi:10.35097/feFwILjideOropmh
Vom Verbrauchsmonitoring zur Verbrauchsprognose - Untersuchung des Umgangs produzierender Unternehmen mit Energieverbrauchsmonitoring und -vorhersage
Ströbel, R.; Bott, A.; Hutt, L.; Groß, S.; Fleischer, J.
2024. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 119 (1-2), 80 – 84. doi:10.1515/zwf-2024-1009
Ströbel, R.; Bott, A.; Hutt, L.; Groß, S.; Fleischer, J.
2024. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 119 (1-2), 80 – 84. doi:10.1515/zwf-2024-1009
Framework for Holistic Online Optimization of Milling Machine Conditions to Enhance Machine Efficiency and Sustainability
Bott, A.; Anderlik, S.; Ströbel, R.; Fleischer, J.; Worthmann, A.
2024. Machines, 12 (3), Art.-Nr.: 153. doi:10.3390/machines12030153
Bott, A.; Anderlik, S.; Ströbel, R.; Fleischer, J.; Worthmann, A.
2024. Machines, 12 (3), Art.-Nr.: 153. doi:10.3390/machines12030153
Interoperable system for automated extraction and identification of machine control data in brownfield production
Gönnheimer, P.; Ströbel, R.; Dörflinger, R.; Mattes, M.; Fleischer, J.
2023. Manufacturing Letters, 35, 915 – 925. doi:10.1016/j.mfglet.2023.08.010
Gönnheimer, P.; Ströbel, R.; Dörflinger, R.; Mattes, M.; Fleischer, J.
2023. Manufacturing Letters, 35, 915 – 925. doi:10.1016/j.mfglet.2023.08.010
Training and validation dataset 2 of milling processes for time series prediction
Ströbel, R.; Mau, M.; Deucker, S.; Fleischer, J.
2023, September 15. doi:10.35097/1738
Ströbel, R.; Mau, M.; Deucker, S.; Fleischer, J.
2023, September 15. doi:10.35097/1738
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
Training and validation dataset of milling processes for time series prediction
Ströbel, R.; Probst, Y.; Fleischer, J.
2023, April 14. doi:10.5445/IR/1000157789
Ströbel, R.; Probst, Y.; Fleischer, J.
2023, April 14. doi:10.5445/IR/1000157789
Generalizability of an Identification Approach for Machine Control Signals in Brownfield Production Environments
Gönnheimer, P.; Ströbel, R.; Dörflinger, R.; Mattes, M.; Alexander, P.; Wuest, T.; Fleischer, J.
2023. Procedia CIRP, 120, 649 – 654. doi:10.1016/j.procir.2023.09.053
Gönnheimer, P.; Ströbel, R.; Dörflinger, R.; Mattes, M.; Alexander, P.; Wuest, T.; Fleischer, J.
2023. Procedia CIRP, 120, 649 – 654. doi:10.1016/j.procir.2023.09.053
A Model-Driven Digital Twin for Manufacturing Process Adaptation
Spaney, P.; Becker, S.; Ströbel, R.; Fleischer, J.; Zenhari, S.; Möhring, H.-C.; Splettstößer, A.-K.; Wortmann, A.
2023. 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Västerås, 1st-6th October 2023, 465 – 469, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MODELS-C59198.2023.00081
Spaney, P.; Becker, S.; Ströbel, R.; Fleischer, J.; Zenhari, S.; Möhring, H.-C.; Splettstößer, A.-K.; Wortmann, A.
2023. 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Västerås, 1st-6th October 2023, 465 – 469, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MODELS-C59198.2023.00081
Monitoring of Tool and Component Wear for Self-Adaptive Digital Twins: A Multi-Stage Approach through Anomaly Detection and Wear Cycle Analysis
Ströbel, R.; Bott, A.; Wortmann, A.; Fleischer, J.
2023. Machines, 11 (11), Art.Nr.: 1032. doi:10.3390/machines11111032
Ströbel, R.; Bott, A.; Wortmann, A.; Fleischer, J.
2023. Machines, 11 (11), Art.Nr.: 1032. doi:10.3390/machines11111032
Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models
Ströbel, R.; Probst, Y.; Deucker, S.; Fleischer, J.
2023. Machines, 11 (11), Art.Nr.: 1015. doi:10.3390/machines11111015
Ströbel, R.; Probst, Y.; Deucker, S.; Fleischer, J.
2023. Machines, 11 (11), Art.Nr.: 1015. doi:10.3390/machines11111015
Potential of systematically generated training datasets on the accuracy and generalization of AI-based approaches for the automated identification of machine control signals
Gönnheimer, P.; Ströbel, R.; Roßkopf, A.; Dörflinger, R.; Walter, I.; Becker, J.; Fleischer, J.
2023. 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering CIRP ICME ‘22, Italy. Hrsg.: R. Teti, D. D’Addona, 145 – 150, Elsevier. doi:10.1016/j.procir.2023.06.026
Gönnheimer, P.; Ströbel, R.; Roßkopf, A.; Dörflinger, R.; Walter, I.; Becker, J.; Fleischer, J.
2023. 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering CIRP ICME ‘22, Italy. Hrsg.: R. Teti, D. D’Addona, 145 – 150, Elsevier. doi:10.1016/j.procir.2023.06.026
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