Author

Angela P. Schoellig

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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

Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL

This work uses Sample-based Model Predictive Control entirely in simulation as an automated, rapidly tunable expert to generate massive offline datasets and validate the robustness of this sim-to-real framework by successfully deploying complex loco-manipulation skills across different morphologies.

Martin Schuck, Maks Sorokin, S. Manni et al. · 1 citation