René Geist is currently a Postdoc at DSME. His research interest evolves around physics-informed regression of dynamics functions (ODEs/ PDEs). He further helps in the organization of lectures and assists in the continuation of the Wheelbot project.
René Geist studied Theoretical Mechanical Engineering at TU Hamburg and conducted his PhD research under supervision of Sebastian Trimpe at the Max Planck Institute for Intelligent Systems in Stuttgart. He defended his PhD thesis titled "Physics-informed Regression of Implicitly-constrained Robot Dynamics" in June 2022. During his PhD, René worked on the combination of rigid body dynamics modeling with data-driven regression techniques as well as developed the "Wheelbot" being a robotic testbed for data-driven control research.
Talks and Posters:
- Talk: „Structured Learning for Dynamical Systems“, at ZF Friedrichshafen, November 2019
- Talk: “Structured Learning for Dynamical Systems“ for Cyber Valley visitors Ralph Brinkhaus (parliamentary leader of the CDU/CSU) and Dr. Stefan Kaufmann (Member of the German Bundestag), May 2019
Supervised Student Projects:
- Josefine Monnet "Robot Control using Structured Neural Networks", RWTH Aachen University (in collaboration with the Werkzeugmaschinenlabor WZL)
- Lucas Rath "Structured learning for robot control", University of Stuttgart & Chalmers University of Tech.
- Zheng Jia "Firmware development, simulation, and control of a unicycle robot", ETH Zürich.
- Max van Haren "Design and control of an agile mobile robot", Eindhoven University of Technology.
- Koen Scheres "Comparison of learning control algorithms for a robotic stand-up maneuver", Eindhoven University of Technology.
If you are looking for a Master's thesis or a collaboration please do not hesitate to contact me. I am always looking for motivated students and collaborators.
The Wheelbot : A Jumping Reaction Wheel Unicycle
IEEE Robotics and automation letters, 7 (4), 9683-9690, 2022
|Geist, Andreas René (Corresponding author)|
Trimpe, Johann Sebastian