571 citations · 1.3k across the 123 of their papers we have counts for
4 papers · 1 filter
Scalable synthesis of safety certificates from data with application to learning-based control
Kim P. Wabersich, Melanie N. Zeilinger
The control of complex systems faces a trade-off between high performance and safety guarantees, which in particular restricts the application of learning-based methods to safety-c…
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars
Lukas Hewing, Alexander Liniger, Melanie N. Zeilinger
This paper presents an adaptive high performance control method for autonomous miniature race cars. Racing dynamics are notoriously hard to model from first principles, which is ad…
Cautious Model Predictive Control using Gaussian Process Regression
Lukas Hewing, Juraj Kabzan, Melanie N. Zeilinger
Gaussian process (GP) regression has been widely used in supervised machine learning due to its flexibility and inherent ability to describe uncertainty in function estimation. In…
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
Jaime F. Fisac, Anayo K. Akametalu, Melanie N. Zeilinger +3
The proven efficacy of learning-based control schemes strongly motivates their application to robotic systems operating in the physical world. However, guaranteeing correct operati…