KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. - Petar Bevanda; Max Beier; Sebastian Kerz; Armin Lederer; Stefan Sosnowski; Sandra Hirche (CoRR, 2021)

Data-driven stochastic model predictive control. - Sebastian Kerz; Johannes Teutsch; Tim Brüdigam; Dirk Wollherr; Marion Leibold (CoRR, 2021)

Diffeomorphically Learning Stable Koopman Operators. - Petar Bevanda; Max Beier; Sebastian Kerz; Armin Lederer; Stefan Sosnowski; Sandra Hirche (IEEE Control. Syst. Lett., 2022)

Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling. - Annalena Daniels; Sebastian Kerz; Salman Bari; Volker Gabler; Dirk Wollherr (SMC, 2023)

Offline Uncertainty Sampling in Data-driven Stochastic MPC. - Johannes Teutsch; Sebastian Kerz; Tim Brüdigam; Dirk Wollherr; Marion Leibold (CoRR, 2023)

An Online Adaptation Strategy for Direct Data-driven Control. - Johannes Teutsch; Sebastian Ellmaier; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CoRR, 2023)

Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach. - Johannes Teutsch; Christopher Narr; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CDC, 2024)

Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty. - Johannes Teutsch; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CoRR, 2024)