Henrik Hose

M. Sc.

Doctoral Researcher



Phone: +49 241 80-92053

Since April 2022, I am a PhD student with the DFG Research Training Group UnRAVeL under the supervision of Prof. Sebastian Trimpe at the Institute for Data Science in Mechanical Engineering. My research interests are approximate model-predictive control (AMPC) and probabilistic model checking methods in the context of multi-robot systems. I am working on the “Wheelbot”, an autonomous balancing robot test bed for validation of control algorithms.

Before joining the DSME and UnRAVeL, I worked as a researcher in the Model-based Assembly Automation Group at the Laboratory for Machine Tools and Production Engineering (WZL). I received B.Sc. and M.Sc. degrees in Mechanical Engineering from RWTH Aachen University with semesters abroad at Georgia Tech and UC Berkeley.



Source Author(s)
[Contribution to a book, Contribution to a conference proceedings]
State Estimation and Model-Predictive Control for Multi-Robot Handling and Tracking of AGV Motions using iGPS
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) / IROS 2021 Online ; IEEE, RSJ, IEEE MSIT Robotics & Automation Society, SICE, IES, NIF - New Technology Foundation, 1038-1045, 2021
[DOI: 10.1109/IROS51168.2021.9636116]
Storm, Christoph (Corresponding author)
Hose, Henrik (Corresponding author)
Schmitt, Robert H. (Corresponding author)