M.Sc. Sven Weishaupt
Wissenschaftlicher Mitarbeiter
Kontakt
Universität Rostock
Lehrstuhl für Mechatronik
Justus-von-Liebig Weg 6
18059 Rostock
Raum: 03
Tel.: +49 381 / 498 - 9218
Fax: +49 381 / 498 - 9092
E-Mail:Sven.Weishaupt(at)uni-rostock.de
Sprechstunde
Nach vorheriger Terminvereinbarung per Telefon oder E-Mail
Forschung
Forschung
- Maschinelle Lernverfahren für Robotikanwendungen
- Dateneffiziente Lernverfahren
- Optimierungsmethoden in der Mechatronik und Regelungstechnik
- Datengetriebene und physikalische Modellbildung
- Nichtlineare Regelungsmethoden und stochastische Schätzverfahren
Lehre
Lehre
Sommersemester:
Übungen und Praktikum zur Vorlesung Digitale Regelung
Wintersemester:
Übungen und Praktikum zur Vorlesung Nichtlineare Regelungssysteme
Publikationen
Begutachtete Kongressbeiträge
Begutachtete Kongressbeiträge
- Ricus Husmann, Sven Weishaupt and Harald Aschemann: Combination of Kalman Filtering and Recursive Gaussian Process Regression With Application to Vapor Compression Cycle Control. 23rd European Control Conference (ECC). Thessaloniki, Greece, 2025. (accepted)
- Ricus Husmann, Sven Weishaupt and Harald Aschemann: Nonlinear Control of a Vapor Compression Cycle Based on a Partial IOL. 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024). Chicago, USA, 2024
- Sven Weishaupt, Ricus Husmann and Harald Aschemann: Boosting Deep Reinforcement Learning-Based Path Planning for Robotic Manipulators With Egocentric State Space Descriptions. 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024). Chicago, USA, 2024
- Sven Weishaupt, Harald Aschemann: Exploiting Physics to Learn an Optimal Swing-Up-Strategy for a Variable-Length Pendulum Using Deep Reinforcement Learning. 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024). Chicago, USA, 2024
- Kanewaar Ibrahim, Ricus Husmann, Sven Weishaupt and Harald Aschemann: Reinforcement Learning for Path Planning and Control of an Autonomous Vehicle with Collision Avoidance. 28th International Conference on System Theory, Control and Computing (ICSTCC) 2024, Sinaia, Romania.
- Ricus Husmann, Sven Weishaupt and Harald Aschemann: Control of a Vapor Compression Cycle Based on a Moving-Boundary Model. 28th International Conference on System Theory, Control and Computing (ICSTCC) 2024, Sinaia, Romania.
- Sven Weishaupt, Ricus Husmann, Harald Aschemann, Nils Schlenther, Thimo Oehlschlaegel and Christian Steinbrecher: Comparative Analysis of Multiple Deep Reinforcement Learning Approaches For Collision-Free Path-Planning of a 3-DoF-Robot. 2024 American Control Conferene (ACC 2024), Toronto, Canada, 2024
- Ricus Husmann, Sven Weishaupt and Harald Aschemann: Cascaded sliding-mode control of a vapor compression cycle. In 2023 27th International Conference on System Theory, Control and Computing (ICSTCC).
- Ricus Husmann, Sven Weishaupt and Harald Aschemann: Nonlinear control of a vapor compression cycle by input-output linearisation. In 2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR), 193–198