Sebastian Kerz

According to our database, Sebastian Kerz authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Sampling-Based Stochastic Data-Driven Predictive Control Under Data Uncertainty.

Johannes Teutsch, Sebastian Kerz, Dirk Wollherr, Marion Leibold

IEEE Trans. Autom. Control., March, 2026

2024

Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach.

Johannes Teutsch, Christopher Narr, Sebastian Kerz, Dirk Wollherr, Marion Leibold

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

An Online Adaptation Strategy for Direct Data-driven Control.

Johannes Teutsch, Sebastian Ellmaier, Sebastian Kerz, Dirk Wollherr, Marion Leibold

CoRR, 2023

Offline Uncertainty Sampling in Data-driven Stochastic MPC.

Johannes Teutsch, Sebastian Kerz, Tim Brüdigam, Dirk Wollherr, Marion Leibold

CoRR, 2023

Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling.

Annalena Daniels, Sebastian Kerz, Salman Bari, Volker Gabler, Dirk Wollherr

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Diffeomorphically Learning Stable Koopman Operators.

Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche

IEEE Control. Syst. Lett., 2022

2021

Data-driven stochastic model predictive control.

Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold

CoRR, 2021

KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators.

Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche

CoRR, 2021