Author

Johanna Menn

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Review Sep 2026

A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects

A unified perspective on the current landscape of BO is provided, emphasizing its relevance to control systems and robotics, and it highlights future prospects by identifying key research challenges and promising avenues for advancing BO in the field.

David Stenger, Paul Brunzema, Johanna Menn et al. · 1 citation

Preprint Aug 2026

Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control

This work formalizes a deterministic trigonometric feature Gaussian process (DTF-GP), a finite-dimensional kernel approximation based on discretized trigonometric features that reduces GP regression to Bayesian linear regression in feature space, and derives a high-probability uniform uncertainty bound for the proposed...

Julius Jagdt, Johanna Menn, Sebastian Trimpe et al. · 0 citations