* denotes equal contribution. You can also find my articles on Google Scholar.


  1. On Controller Tuning with Time-Varying Bayesian Optimization
    Paul Brunzema*, Alexander von Rohr*, and Sebastian Trimpe
    In Proceedings of the IEEE Conference on Decision and Control 2022
  2. Improving the Performance of Robust Control through Event-Triggered Learning
    Alexander von Rohr, Friedrich Solowjow, and Sebastian Trimpe
    In Proceedings of the IEEE Conference on Decision and Control 2022
  3. preprint
    Event-Triggered Time-Varying Bayesian Optimization
    Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, and Sebastian Trimpe
    arXiv 2022


  1. Probabilistic robust linear quadratic regulators with Gaussian processes
    Alexander von Rohr, Matthias Neumann-Brosig, and Sebastian Trimpe
    In Proceedings of the 3rd Conference on Learning for Dynamics and Control 2021
  2. Local policy search with Bayesian optimization
    Sarah M√ľller*,¬†Alexander von Rohr*,¬†and¬†Sebastian Trimpe
    In Advances in Neural Information Processing Systems 2021


  1. A Learnable Safety Measure
    Steve Heim*, Alexander von Rohr*, Sebastian Trimpe, and Alexander Badri-Spröwitz
    In Proceedings of the Conference on Robot Learning 2020
  2. preprint
    Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
    Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, and Sebastian Trimpe
    arXiv 2020


  1. Gait learning for soft microrobots controlled by light fields
    Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, and Stefano Palagi
    In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems 2018