Gait Learning for Soft Microrobots Controlled by Light Fields. - Alexander von Rohr; Sebastian Trimpe; Alonso Marco; Peer Fischer; Stefano Palagi (IROS, 2018)

A Learnable Safety Measure. - Steve Heim; Alexander von Rohr; Sebastian Trimpe; Alexander Badri-Spröwitz (CoRL, 2019)

Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures. - Alonso Marco; Alexander von Rohr; Dominik Baumann; José Miguel Hernández-Lobato; Sebastian Trimpe (CoRR, 2020)

Probabilistic robust linear quadratic regulators with Gaussian processes. - Alexander von Rohr; Matthias Neumann-Brosig; Sebastian Trimpe (L4DC, 2021)

Local policy search with Bayesian optimization. - Sarah Müller; Alexander von Rohr; Sebastian Trimpe (NeurIPS, 2021)

On Controller Tuning with Time-Varying Bayesian Optimization. - Paul Brunzema; Alexander von Rohr; Sebastian Trimpe (CDC, 2022)

Improving the Performance of Robust Control through Event-Triggered Learning. - Alexander von Rohr; Friedrich Solowjow; Sebastian Trimpe (CDC, 2022)

Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach. - Ilyes Toumi; Andreas Orthey; Alexander von Rohr; Ngo Anh Vien (CoRR, 2022)

Experience Transfer for Robust Direct Data-Driven Control. - Alexander von Rohr; Dmitrii Likhachev; Sebastian Trimpe (CoRR, 2023)

Latent Action Priors From a Single Gait Cycle Demonstration for Online Imitation Learning. - Oliver Hausdörfer; Alexander von Rohr; Éric Lefort; Angela P. Schoellig (CoRR, 2024)

Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization. - Lucas Rath; Alexander von Rohr; Andreas Schultze; Sebastian Trimpe; Burkhard Corves (Trans. Mach. Learn. Res., 2024)

Local Bayesian optimization for controller tuning with crash constraints. - Alexander von Rohr; David Stenger; Dominik Scheurenberg; Sebastian Trimpe (Autom., 2024)

Diffusion Predictive Control with Constraints. - Ralf Römer; Alexander von Rohr; Angela P. Schoellig (L4DC, 2025)

Robust direct data-driven control for probabilistic systems. - Alexander von Rohr; Dmitrii Likhachev; Sebastian Trimpe (Syst. Control. Lett., 2025)

Event-Triggered Time-Varying Bayesian Optimization. - Paul Brunzema; Alexander von Rohr; Friedrich Solowjow; Sebastian Trimpe (Trans. Mach. Learn. Res., 2025)

Simulation-Aided Policy Tuning for Black-Box Robot Learning. - Shiming He; Alexander von Rohr; Dominik Baumann; Ji Xiang; Sebastian Trimpe (IEEE Trans. Robotics, 2025)

Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization. - Pierre-François Massiani; Alexander von Rohr; Lukas Haverbeck; Sebastian Trimpe (CoRR, 2025)