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
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: Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control. 13th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2025). Reykjavík, Iceland, 2025. (accepted)
- 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