Sebastian Kerz

11 papers B 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sampling-Based Stochastic Data-Driven Predictive Control Under Data Uncertainty.
IEEE Trans. Autom. Control.
Johannes Teutsch, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2025 J jnl
Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling.
CoRR
Annalena Daniels, Sebastian Kerz, Salman Bari, Volker Gabler, Dirk Wollherr
2024 — conf
Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach.
CDC
Johannes Teutsch, Christopher Narr, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2024 J jnl
Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach.
CoRR
Johannes Teutsch, Christopher Narr, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2024 J jnl
Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty.
CoRR
Johannes Teutsch, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2023 J jnl
An Online Adaptation Strategy for Direct Data-driven Control.
CoRR
Johannes Teutsch, Sebastian Ellmaier, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2023 B conf
Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling.
SMC
Annalena Daniels, Sebastian Kerz, Salman Bari, Volker Gabler, Dirk Wollherr
2023 J jnl
Offline Uncertainty Sampling in Data-driven Stochastic MPC.
CoRR
Johannes Teutsch, Sebastian Kerz, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2022 J jnl
Diffeomorphically Learning Stable Koopman Operators.
IEEE Control. Syst. Lett.
Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
2021 J jnl
Data-driven stochastic model predictive control.
CoRR
Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2021 J jnl
KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators.
CoRR
Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche