6 citations · 6 across the 3 of their papers we have counts for
4 papers
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
Janine Matschek, Johanna Bethge, Rolf Findeisen
Many robotic tasks, such as human-robot interactions or the handling of fragile objects, require tight control and limitation of appearing forces and moments alongside sensible mot…
Machine Learning for Process Control of (Bio)Chemical Processes
Andreas Himmel, Janine Matschek, Rudolph Kok +3
The control of manufacturing processes must satisfy high quality and efficiency requirements while meeting safety requirements. A broad spectrum of monitoring and control strategie…
Constrained Gaussian Process Learning for Model Predictive Control
Janine Matschek, Andreas Himmel, Kai Sundmacher +1
Many control tasks can be formulated as a tracking problem of a known or unknown reference signal. Examples are movement compensation in collaborative robotics, the synchronisation…
Learning References with Gaussian Processes in Model Predictive Control applied to Robot Assisted Surgery
Janine Matschek, Tim Gonschorek, Magnus Hanses +3
One of the key benefits of model predictive control is the capability of controlling a system proactively in the sense of taking the future system evolution into account. However,…