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ORCIDSebastian Trimpe
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- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2024
[j39]Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe:
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors. RLJ 2: 926-945 (2024)- [j38]Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe:
Combining Automated Optimisation of Hyperparameters and Reward Shape. RLJ 3: 1441-1466 (2024) - [j37]Alexander von Rohr
, David Stenger, Dominik Scheurenberg, Sebastian Trimpe:
Local Bayesian optimization for controller tuning with crash constraints. Autom. 72(4): 281-292 (2024) - [j36]Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe:
ECLAD: Extracting Concepts with Local Aggregated Descriptors. Pattern Recognit. 147: 110146 (2024) - [j35]Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow, Florent Di Meglio, Sebastian Trimpe:
Data-Driven Observability Analysis for Nonlinear Stochastic Systems. IEEE Trans. Autom. Control. 69(6): 4042-4049 (2024) - [j34]Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker:
Multimodal Multi-User Surface Recognition With the Kernel Two-Sample Test. IEEE Trans Autom. Sci. Eng. 21(3): 4432-4447 (2024) - [j33]Lucas Rath, Alexander von Rohr, Andreas Schultze, Sebastian Trimpe, Burkhard Corves:
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [c70]Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe:
Exact Inference for Continuous-Time Gaussian Process Dynamics. AAAI 2024: 11883-11891 - [c69]Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe:
Learning Hybrid Dynamics Models with Simulator-Informed Latent States. AAAI 2024: 11892-11900 - [c68]Christian Fiedler, Sebastian Trimpe:
Analysis of EMPC Schemes Without Terminal Constraints via Local Incremental Stabilizability. ECC 2024: 1830-1836 - [c67]Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow, Sebastian Trimpe:
On Statistical Learning Theory for Distributional Inputs. ICML 2024 - [c66]Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe:
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption. ICML 2024 - [c65]Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow:
On the Consistency of Kernel Methods with Dependent Observations. ICML 2024 - [c64]Emma Cramer, Jonas Reiher, Sebastian Trimpe:
Tracking object positions in reinforcement learning: A metric for keypoint detection. L4DC 2024: 104-116 - [c63]Henrik Hose, Alexander Gräfe, Sebastian Trimpe:
Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining. L4DC 2024: 349-360 - [c62]Noel Brindise, Andres Felipe Posada-Moreno, Cedric Langbort, Sebastian Trimpe:
Pointwise-in-time diagnostics for reinforcement learning during training and runtime. L4DC 2024: 694-706 - [c61]Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe:
Event-triggered safe Bayesian optimization on quadcopters. L4DC 2024: 1033-1045 - [c60]Paul Brunzema, Paul Kruse, Sebastian Trimpe:
Neural processes with event triggers for fast adaptation to changes. L4DC 2024: 1619-1632 - [i92]Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe:
On Safety in Safe Bayesian Optimization. CoRR abs/2403.12948 (2024) - [i91]Henrik Hose, Alexander Gräfe, Sebastian Trimpe:
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Re-Training. CoRR abs/2404.05835 (2024) - [i90]Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach:
Distributed Event-Based Learning via ADMM. CoRR abs/2405.10618 (2024) - [i89]Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe:
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption. CoRR abs/2405.19014 (2024) - [i88]Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow:
On the Consistency of Kernel Methods with Dependent Observations. CoRR abs/2406.06101 (2024) - [i87]Julian Dierkes, Emma Cramer, Holger H. Hoos, Sebastian Trimpe:
Combining Automated Optimisation of Hyperparameters and Reward Shape. CoRR abs/2406.18293 (2024) - [i86]Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe:
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors. CoRR abs/2406.19768 (2024) - [i85]Shamil Mamedov, Andreas Rene Geist, Ruan Viljoen, Sebastian Trimpe, Jan Swevers:
Learning deformable linear object dynamics from a single trajectory. CoRR abs/2407.03476 (2024) - [i84]Leon Greiser, Ozan Demir, Benjamin Hartmann, Henrik Hose, Sebastian Trimpe:
Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions. CoRR abs/2409.16875 (2024) - 2023
- [j32]Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann:
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems. Artif. Intell. 320: 103922 (2023) - [j31]Christian Fiedler, Michael Herty, Sebastian Trimpe:
Mean-Field Limits for Discrete-Time Dynamical Systems via Kernel Mean Embeddings. IEEE Control. Syst. Lett. 7: 3914-3919 (2023) - [j30]Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe:
Scale-preserving automatic concept extraction (SPACE). Mach. Learn. 112(11): 4495-4525 (2023) - [j29]Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe:
Safe Value Functions. IEEE Trans. Autom. Control. 68(5): 2743-2757 (2023) - [j28]Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio:
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs. Trans. Mach. Learn. Res. 2023 (2023) - [c59]Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe:
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. AAAI 2023: 7476-7484 - [c58]Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe:
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control. ITSC 2023: 894-901 - [c57]Lukas Kesper, Sebastian Trimpe, Dominik Baumann:
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. L4DC 2023: 1072-1085 - [c56]Christian Fiedler, Michael Herty, Sebastian Trimpe:
On kernel-based statistical learning theory in the mean field limit. NeurIPS 2023 - [c55]Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe:
Scalable Concept Extraction in Industry 4.0. xAI (3) 2023: 512-535 - [d3]Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe:
Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks". Zenodo, 2023
- [d2]Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe:
image classification dataset on carbon fiber reinforcement quality control. Zenodo, 2023 - [d1]Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe:
image classification dataset on tailored textiles quality control. Zenodo, 2023 - [i83]Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow, Florent Di Meglio, Sebastian Trimpe:
Data-Driven Observability Analysis for Nonlinear Stochastic Systems. CoRR abs/2302.11979 (2023) - [i82]Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe:
Combining Slow and Fast: Complementary Filtering for Dynamics Learning. CoRR abs/2302.13754 (2023) - [i81]Christian Fiedler, Michael Herty, Michael Rom, Chiara Segala, Sebastian Trimpe:
Reproducing kernel Hilbert spaces in the mean field limit. CoRR abs/2302.14446 (2023) - [i80]Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker:
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test. CoRR abs/2303.04930 (2023) - [i79]Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe:
Approximate non-linear model predictive control with safety-augmented neural networks. CoRR abs/2304.09575 (2023) - [i78]Lukas Kesper, Sebastian Trimpe, Dominik Baumann:
Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control. CoRR abs/2305.08723 (2023) - [i77]Andres Felipe Posada-Moreno, Kai Müller, Florian Brillowski, Friedrich Solowjow, Thomas Gries, Sebastian Trimpe:
Scalable Concept Extraction in Industry 4.0. CoRR abs/2306.03551 (2023) - [i76]Alexander von Rohr, Dmitrii Likhachev, Sebastian Trimpe:
Experience Transfer for Robust Direct Data-Driven Control. CoRR abs/2306.16973 (2023) - [i75]Shamil Mamedov, Andreas René Geist, Jan Swevers, Sebastian Trimpe:
Finite element inspired networks: Learning physically-plausible deformable object dynamics from partial observations. CoRR abs/2307.07975 (2023) - [i74]Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe:
Scale-Preserving Automatic Concept Extraction (SPACE). CoRR abs/2308.06022 (2023) - [i73]Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe:
Exact Inference for Continuous-Time Gaussian Process Dynamics. CoRR abs/2309.02351 (2023) - [i72]Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe:
Learning Hybrid Dynamics Models With Simulator-Informed Latent States. CoRR abs/2309.02873 (2023) - [i71]Christian Fiedler, Michael Herty, Sebastian Trimpe:
On kernel-based statistical learning in the mean field limit. CoRR abs/2310.18074 (2023) - [i70]Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe:
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control. CoRR abs/2311.18393 (2023) - [i69]Emma Cramer, Jonas Reiher, Sebastian Trimpe:
Tracking Object Positions in Reinforcement Learning: A Metric for Keypoint Detection (extended version). CoRR abs/2312.00592 (2023) - [i68]Christian Fiedler, Michael Herty, Sebastian Trimpe:
Mean field limits for discrete-time dynamical systems via kernel mean embeddings. CoRR abs/2312.06422 (2023) - [i67]Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe:
Event-Triggered Safe Bayesian Optimization on Quadcopters. CoRR abs/2312.08058 (2023) - [i66]Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler:
Automatic nonlinear MPC approximation with closed-loop guarantees. CoRR abs/2312.10199 (2023) - 2022
- [j27]Andreas Rene Geist, Jonathan Fiene, Naomi Tashiro, Zheng Jia, Sebastian Trimpe:
The Wheelbot: A Jumping Reaction Wheel Unicycle. IEEE Robotics Autom. Lett. 7(4): 9683-9690 (2022) - [j26]Steffen Bleher, Steve Heim, Sebastian Trimpe:
Learning Fast and Precise Pixel-to-Torque Control: A Platform for Reproducible Research of Learning on Hardware. IEEE Robotics Autom. Mag. 29(2): 75-84 (2022) - [j25]Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling:
Scaling beyond Bandwidth Limitations: Wireless Control with Stability Guarantees under Overload. ACM Trans. Cyber Phys. Syst. 6(3): 20:1-20:30 (2022) - [j24]Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe:
Identifying Causal Structure in Dynamical Systems. Trans. Mach. Learn. Res. 2022 (2022) - [c54]Alexander Gräfe, Dominik Baumann, Sebastian Trimpe:
Towards remote fault detection by analyzing communication priorities. CDC 2022: 1758-1763 - [c53]Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression. CDC 2022: 2141-2146 - [c52]Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe:
Improving the Performance of Robust Control through Event-Triggered Learning. CDC 2022: 3424-3430 - [c51]Paul Brunzema, Alexander von Rohr, Sebastian Trimpe:
On Controller Tuning with Time-Varying Bayesian Optimization. CDC 2022: 4046-4052 - [c50]Christian Fiedler, Sebastian Trimpe:
Revisiting the derivation of stage costs in infinite horizon discrete-time optimal control. MED 2022: 211-216 - [c49]Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe:
Structure-Preserving Gaussian Process Dynamics. ECML/PKDD (5) 2022: 140-156 - [i65]Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann:
Scalable Safe Exploration for Global Optimization of Dynamical Systems. CoRR abs/2201.09562 (2022) - [i64]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR abs/2202.06052 (2022) - [i63]Sebastian Schlor, Friedrich Solowjow, Sebastian Trimpe:
Parameter Filter-based Event-triggered Learning. CoRR abs/2204.02059 (2022) - [i62]Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio:
Learning dynamics from partial observations with structured neural ODEs. CoRR abs/2205.12550 (2022) - [i61]Andres Felipe Posada-Moreno, Nikita Surya, Sebastian Trimpe:
ECLAD: Extracting Concepts with Local Aggregated Descriptors. CoRR abs/2206.04531 (2022) - [i60]Alexander Gräfe, Joram Eickhoff, Sebastian Trimpe:
Event-triggered and distributed model predictive control for guaranteed collision avoidance in UAV swarms. CoRR abs/2206.11020 (2022) - [i59]Christian Fiedler, Sebastian Trimpe:
Revisiting the derivation of stage costs in infinite horizon discrete-time optimal control. CoRR abs/2207.05373 (2022) - [i58]Andreas René Geist, Jonathan Fiene, Naomi Tashiro, Zheng Jia, Sebastian Trimpe:
The Wheelbot: A Jumping Reaction Wheel Unicycle. CoRR abs/2207.06988 (2022) - [i57]Paul Brunzema, Alexander von Rohr, Sebastian Trimpe:
On Controller Tuning with Time-Varying Bayesian Optimization. CoRR abs/2207.11120 (2022) - [i56]Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe:
Improving the Performance of Robust Control through Event-Triggered Learning. CoRR abs/2207.14252 (2022) - [i55]Steffen Bleher, Steve Heim, Sebastian Trimpe:
Learning Fast and Precise Pixel-to-Torque Control. CoRR abs/2208.02315 (2022) - [i54]Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe:
Event-Triggered Time-Varying Bayesian Optimization. CoRR abs/2208.10790 (2022) - [i53]Alexander Gräfe, Dominik Baumann, Sebastian Trimpe:
Towards remote fault detection by analyzing communication priorities. CoRR abs/2209.15498 (2022) - 2021
- [j23]Tobias Holicki, Carsten W. Scherer, Sebastian Trimpe:
Controller Design via Experimental Exploration With Robustness Guarantees. IEEE Control. Syst. Lett. 5(2): 641-646 (2021) - [j22]Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio:
Joint State and Dynamics Estimation With High-Gain Observers and Gaussian Process Models. IEEE Control. Syst. Lett. 5(5): 1627-1632 (2021) - [j21]Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe:
Learning event-triggered control from data through joint optimization. IFAC J. Syst. Control. 16: 100144 (2021) - [j20]Sinan Özgün Demir, Utku Culha, Alp Can Karacakol, Abdon Pena-Francesch, Sebastian Trimpe, Metin Sitti:
Task space adaptation via the learning of gait controllers of magnetic soft millirobots. Int. J. Robotics Res. 40(12-14): 1331-1351 (2021) - [j19]Dominik Baumann, Fabian Mager, Ulf Wetzker, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe:
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges. Proc. IEEE 109(4): 441-467 (2021) - [j18]Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe:
Robot Learning With Crash Constraints. IEEE Robotics Autom. Lett. 6(2): 1439-1446 (2021) - [j17]Henning Schlüter, Friedrich Solowjow, Sebastian Trimpe:
Event-Triggered Learning for Linear Quadratic Control. IEEE Trans. Autom. Control. 66(10): 4485-4498 (2021) - [c48]Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. AAAI 2021: 7439-7447 - [c47]Mona Buisson-Fenet, Valéry Morgenthaler, Sebastian Trimpe, Florent Di Meglio:
Joint state and dynamics estimation with high-gain observers and Gaussian process models. ACC 2021: 4027-4032 - [c46]Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. CDC 2021: 5122-5129 - [c45]Lucas Rath, Andreas René Geist, Sebastian Trimpe:
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors. CoRL 2021: 101-111 - [c44]Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe:
GoSafe: Globally Optimal Safe Robot Learning. ICRA 2021: 4452-4458 - [c43]Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe:
Probabilistic robust linear quadratic regulators with Gaussian processes. L4DC 2021: 324-335 - [c42]Pierre-François Massiani, Steve Heim, Sebastian Trimpe:
On exploration requirements for learning safety constraints. L4DC 2021: 905-916 - [c41]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) 2021: 246-258 - [c40]Sarah Müller, Alexander von Rohr, Sebastian Trimpe:
Local policy search with Bayesian optimization. NeurIPS 2021: 20708-20720 - [i52]Katharina Ensinger, Friedrich Solowjow, Michael Tiemann, Sebastian Trimpe:
Symplectic Gaussian Process Dynamics. CoRR abs/2102.01606 (2021) - [i51]Fabian Mager, Dominik Baumann, Carsten Herrmann, Sebastian Trimpe, Marco Zimmerling:
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload. CoRR abs/2104.07989 (2021) - [i50]Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. CoRR abs/2105.02796 (2021) - [i49]Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees. CoRR abs/2105.03397 (2021) - [i48]Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe:
Probabilistic robust linear quadratic regulators with Gaussian processes. CoRR abs/2105.07668 (2021) - [i47]Pierre-François Massiani, Steve Heim, Sebastian Trimpe:
On exploration requirements for learning safety constraints. CoRR abs/2105.08143 (2021) - [i46]Pierre-François Massiani, Steve Heim, Friedrich Solowjow, Sebastian Trimpe:
Safe Value Functions. CoRR abs/2105.12204 (2021) - [i45]Dominik Baumann, Alonso Marco, Matteo Turchetta, Sebastian Trimpe:
GoSafe: Globally Optimal Safe Robot Learning. CoRR abs/2105.13281 (2021) - [i44]Sarah Müller, Alexander von Rohr, Sebastian Trimpe:
Local policy search with Bayesian optimization. CoRR abs/2106.11899 (2021) - 2020
- [j16]Friedrich Solowjow, Sebastian Trimpe:
Event-triggered learning. Autom. 117: 109009 (2020) - [j15]Lukas Schwenkel, Meriem Gharbi, Sebastian Trimpe, Christian Ebenbauer:
Online learning with stability guarantees: A memory-based warm starting for real-time MPC. Autom. 122: 109247 (2020) - [j14]Jonas Beuchert, Friedrich Solowjow, Jörg Raisch, Sebastian Trimpe, Thomas Seel:
Hierarchical Event-Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks. IEEE Control. Syst. Lett. 4(1): 103-108 (2020) - [j13]Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe:
Control-Guided Communication: Efficient Resource Arbitration and Allocation in Multi-Hop Wireless Control Systems. IEEE Control. Syst. Lett. 4(1): 127-132 (2020) - [j12]Gabriel S. Lima, Sebastian Trimpe, Wallace Moreira Bessa:
Sliding Mode Control with Gaussian Process Regression for Underwater Robots. J. Intell. Robotic Syst. 99(3): 487-498 (2020) - [j11]Ravi N. Haksar, Sebastian Trimpe, Mac Schwager:
Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage. IEEE Robotics Autom. Lett. 5(2): 3027-3034 (2020) - [j10]Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe:
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control. IEEE Robotics Autom. Lett. 5(2): 3050-3057 (2020) - [j9]Jonas Beuchert, Friedrich Solowjow, Sebastian Trimpe, Thomas Seel:
Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach. Sensors 20(1): 260 (2020) - [j8]Dominik Baumann, Fabian Mager, Romain Jacob, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe:
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees. ACM Trans. Cyber Phys. Syst. 4(2): 18:1-18:32 (2020) - [j7]Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe:
Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study. IEEE Trans. Control. Syst. Technol. 28(3): 730-740 (2020) - [c39]Matteo Turchetta, Andreas Krause, Sebastian Trimpe:
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization. ICRA 2020: 10702-10708 - [c38]Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe:
Actively Learning Gaussian Process Dynamics. L4DC 2020: 5-15 - [c37]Andreas Rene Geist, Sebastian Trimpe:
Learning Constrained Dynamics with Gauss' Principle adhering Gaussian Processes. L4DC 2020: 225-234 - [c36]Utku Culha, Sinan Özgün Demir, Sebastian Trimpe, Metin Sitti:
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots. Robotics: Science and Systems 2020 - [i43]