Dominik Baumann

According to our database, Dominik Baumann authored at least 37 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Safe Reinforcement Learning in Uncertain Contexts.

Dominik Baumann, Thomas B. Schön

IEEE Trans. Robotics, 2024

Simulation-Aided Policy Tuning for Black-Box Robot Learning.

Shiming He, Alexander von Rohr, Dominik Baumann, Ji Xiang, Sebastian Trimpe

CoRR, 2024

PACSBO: Probably approximately correct safe Bayesian optimization.

Abdullah Tokmak, Thomas B. Schön, Dominik Baumann

CoRR, 2024

2023

GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems.

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann

Artif. Intell., July, 2023

Non-ergodicity in reinforcement learning: robustness via ergodicity transformations.

Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön

CoRR, 2023

On the trade-off between event-based and periodic state estimation under bandwidth constraints.

Dominik Baumann, Thomas B. Schön

CoRR, 2023

Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control.

Lukas Kesper, Sebastian Trimpe, Dominik Baumann

Proceedings of the Learning for Dynamics and Control Conference, 2023

A Computationally Lightweight Safe Learning Algorithm.

Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Pawel Wachel

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Identifying Causal Structure in Dynamical Systems.

Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe

Trans. Mach. Learn. Res., 2022

Scaling beyond Bandwidth Limitations: Wireless Control with Stability Guarantees under Overload.

Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling

ACM Trans. Cyber Phys. Syst., 2022

Scalable Safe Exploration for Global Optimization of Dynamical Systems.

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann

CoRR, 2022

Towards remote fault detection by analyzing communication priorities.

Alexander Gräfe, Dominik Baumann, Sebastian Trimpe

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Robot Learning With Crash Constraints.

Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe

IEEE Robotics Autom. Lett., 2021

Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges.

Dominik Baumann, Fabian Mager, Ulf Wetzker, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe

Proc. IEEE, 2021

Learning event-triggered control from data through joint optimization.

Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe

IFAC J. Syst. Control., 2021

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning.

Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

GoSafe: Globally Optimal Safe Robot Learning.

Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification.

Dominik Baumann

PhD thesis, 2020

Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees.

Dominik Baumann, Fabian Mager, Romain Jacob, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe

ACM Trans. Cyber Phys. Syst., 2020

Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems.

Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe

IEEE Control. Syst. Lett., 2020

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

A Kernel Two-sample Test for Dynamical Systems.

Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe

CoRR, 2020

2019

Resource-Aware IoT Control: Saving Communication Through Predictive Triggering.

Sebastian Trimpe, Dominik Baumann

IEEE Internet Things J., 2019

Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems.

José Mario Mastrangelo, Dominik Baumann, Sebastian Trimpe

CoRR, 2019

Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties.

Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe

CoRR, 2019

Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems.

Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling

CoRR, 2019

Fast feedback control and coordination with mode changes for wireless cyber-physical systems: demo abstract.

Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling

Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

Feedback control goes wireless: guaranteed stability over low-power multi-hop networks.

Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling

Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Event-triggered Pulse Control with Model Learning (if Necessary).

Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe

Proceedings of the 2019 American Control Conference, 2019

2018

Memristor-enhanced humanoid robot control system - Part II: Circuit theoretic model and performance analysis.

Dominik Baumann, Alon Ascoli, Ronald Tetzlaff, Leon O. Chua, Manfred Hild

Int. J. Circuit Theory Appl., 2018

Memristor-enhanced humanoid robot control system - Part I: Theory behind the novel memcomputing paradigm.

Alon Ascoli, Dominik Baumann, Ronald Tetzlaff, Leon O. Chua, Manfred Hild

Int. J. Circuit Theory Appl., 2018

Mem-adaptive computing - Part II: Circuit design.

Alon Ascoli, Dominik Baumann, Ronald Tetzlaff, Leon O. Chua, Manfred Hild

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Mem-adaptive computing - Part I: Theory.

Alon Ascoli, Dominik Baumann, Ronald Tetzlaff, Leon O. Chua, Manfred Hild

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Toward fast closed-loop control over multi-hop low-power wireless networks: poster abstract.

Fabian Mager, Dominik Baumann, Sebastian Trimpe, Marco Zimmerling

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Evaluating Low-Power Wireless Cyber-Physical Systems.

Dominik Baumann, Fabian Mager, Harsoveet Singh, Marco Zimmerling, Sebastian Trimpe

Proceedings of the Workshop on Benchmarking Cyber-Physical Networks and Systems, 2018

Deep Reinforcement Learning for Event-Triggered Control.

Dominik Baumann, Sebastian Trimpe, Jia-Jie Zhu, Georg Martius

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Event-Triggered Learning for Resource-Efficient Networked Control.

Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe

Proceedings of the 2018 Annual American Control Conference, 2018