default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSebastian Trimpe
Person information
- affiliation: RWTH Aachen University, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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]Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe:
A Kernel Two-sample Test for Dynamical Systems. CoRR abs/2004.11098 (2020) - [i42]Andreas Rene Geist, Sebastian Trimpe:
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes. CoRR abs/2004.11238 (2020) - [i41]Alonso Marco, Alexander von Rohr, Dominik Baumann, José Miguel Hernández-Lobato, Sebastian Trimpe:
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures. CoRR abs/2005.07443 (2020) - [i40]Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe:
Identifying Causal Structure in Dynamical Systems. CoRR abs/2006.03906 (2020) - [i39]Niklas Funk, Dominik Baumann, Vincent Berenz, Sebastian Trimpe:
Learning Event-triggered Control from Data through Joint Optimization. CoRR abs/2008.04712 (2020) - [i38]Alonso Marco, Dominik Baumann, Majid Khadiv, Philipp Hennig, Ludovic Righetti, Sebastian Trimpe:
Robot Learning with Crash Constraints. CoRR abs/2010.08669 (2020) - [i37]Dominik Baumann, Fabian Mager, Ulf Wetzker, Lothar Thiele, Marco Zimmerling, Sebastian Trimpe:
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges. CoRR abs/2010.09087 (2020) - [i36]Andreas René Geist, Sebastian Trimpe:
Structured learning of rigid-body dynamics: A survey and unified view. CoRR abs/2012.06250 (2020)
2010 – 2019
- 2019
- [j6]Sebastian Trimpe, Dominik Baumann:
Resource-Aware IoT Control: Saving Communication Through Predictive Triggering. IEEE Internet Things J. 6(3): 5013-5028 (2019) - [c35]Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe:
Event-triggered Pulse Control with Model Learning (if Necessary). ACC 2019: 792-797 - [c34]Ravi N. Haksar, Friedrich Solowjow, Sebastian Trimpe, Mac Schwager:
Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources. CDC 2019: 1315-1322 - [c33]Steve Heim, Alexander von Rohr, Sebastian Trimpe, Alexander Badri-Spröwitz:
A Learnable Safety Measure. CoRL 2019: 627-639 - [c32]Anne Romer, Sebastian Trimpe, Frank Allgöwer:
Data-driven inference of passivity properties via Gaussian process optimization. ECC 2019: 29-35 - [c31]Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling:
Feedback control goes wireless: guaranteed stability over low-power multi-hop networks. ICCPS 2019: 97-108 - [c30]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML 2019: 1636-1645 - [c29]Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling:
Fast feedback control and coordination with mode changes for wireless cyber-physical systems: demo abstract. IPSN 2019: 340-341 - [i35]Sebastian Trimpe, Dominik Baumann:
Resource-aware IoT Control: Saving Communication through Predictive Triggering. CoRR abs/1901.07531 (2019) - [i34]Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe:
Event-triggered Pulse Control with Model Learning (if Necessary). CoRR abs/1903.08046 (2019) - [i33]Friedrich Solowjow, Sebastian Trimpe:
Event-triggered Learning. CoRR abs/1904.03042 (2019) - [i32]Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel:
Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR abs/1905.05710 (2019) - [i31]Jonas Beuchert, Friedrich Solowjow, Jörg Raisch, Sebastian Trimpe, Thomas Seel:
Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks. CoRR abs/1906.03211 (2019) - [i30]Dominik Baumann, Fabian Mager, Marco Zimmerling, Sebastian Trimpe:
Control-guided Communication: Efficient Resource Arbitration and Allocation in Multi-hop Wireless Control Systems. CoRR abs/1906.03458 (2019) - [i29]Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling:
Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems. CoRR abs/1906.05554 (2019) - [i28]Alonso Marco, Dominik Baumann, Philipp Hennig, Sebastian Trimpe:
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties. CoRR abs/1907.10383 (2019) - [i27]José Mario Mastrangelo, Dominik Baumann, Sebastian Trimpe:
Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems. CoRR abs/1907.12300 (2019) - [i26]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. CoRR abs/1909.10873 (2019) - [i25]Steve Heim, Alexander von Rohr, Sebastian Trimpe, Alexander Badri-Spröwitz:
A Learnable Safety Measure. CoRR abs/1910.02835 (2019) - [i24]Henning Schlüter, Friedrich Solowjow, Sebastian Trimpe:
Event-triggered Learning for Linear Quadratic Control. CoRR abs/1910.07732 (2019) - [i23]Matteo Turchetta, Andreas Krause, Sebastian Trimpe:
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization. CoRR abs/1910.13399 (2019) - [i22]Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe:
Actively Learning Gaussian Process Dynamics. CoRR abs/1911.09946 (2019) - [i21]Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe:
Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control. CoRR abs/1912.10360 (2019) - 2018
- [j5]Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller With Guarantees. IEEE Control. Syst. Lett. 2(3): 543-548 (2018) - [j4]Michael Muehlebach, Sebastian Trimpe:
Distributed Event-Based State Estimation for Networked Systems: An LMI Approach. IEEE Trans. Autom. Control. 63(1): 269-276 (2018) - [c28]Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe:
Event-Triggered Learning for Resource-Efficient Networked Control. ACC 2018: 6506-6512 - [c27]Dominik Baumann, Sebastian Trimpe, Jia-Jie Zhu, Georg Martius:
Deep Reinforcement Learning for Event-Triggered Control. CDC 2018: 943-950 - [c26]Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe:
Efficient Encoding of Dynamical Systems Through Local Approximations. CDC 2018: 6073-6079 - [c25]Dominik Baumann, Fabian Mager, Harsoveet Singh, Marco Zimmerling, Sebastian Trimpe:
Evaluating Low-Power Wireless Cyber-Physical Systems. Bench@CPSWeek 2018: 13-18 - [c24]Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Probabilistic Recurrent State-Space Models. ICML 2018: 1279-1288 - [c23]Fabian Mager, Dominik Baumann, Sebastian Trimpe, Marco Zimmerling:
Toward fast closed-loop control over multi-hop low-power wireless networks: poster abstract. IPSN 2018: 158-159 - [c22]Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi:
Gait Learning for Soft Microrobots Controlled by Light Fields. IROS 2018: 6199-6206 - [c21]Gabriel S. Lima, Wallace Moreira Bessa, Sebastian Trimpe:
Depth Control of Underwater Robots Using Sliding Modes and Gaussian Process Regression. LARS/SBR/WRE 2018: 8-12 - [i20]Friedrich Solowjow, Dominik Baumann, Jochen Garcke, Sebastian Trimpe:
Event-triggered Learning for Resource-efficient Networked Control. CoRR abs/1803.01802 (2018) - [i19]Fabian Mager, Dominik Baumann, Romain Jacob, Lothar Thiele, Sebastian Trimpe, Marco Zimmerling:
Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks. CoRR abs/1804.08986 (2018) - [i18]Dominik Baumann, Fabian Mager, Harsoveet Singh, Marco Zimmerling, Sebastian Trimpe:
Evaluating Low-Power Wireless Cyber-Physical Systems. CoRR abs/1804.09582 (2018) - [i17]Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe:
Minimum Information Exchange in Distributed Systems. CoRR abs/1805.09714 (2018) - [i16]Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe, Bernhard Schölkopf:
A Local Information Criterion for Dynamical Systems. CoRR abs/1805.10615 (2018) - [i15]Michael Hertneck, Johannes Köhler, Sebastian Trimpe, Frank Allgöwer:
Learning an Approximate Model Predictive Controller with Guarantees. CoRR abs/1806.04167 (2018) - [i14]Alexander von Rohr, Sebastian Trimpe, Alonso Marco, Peer Fischer, Stefano Palagi:
Gait learning for soft microrobots controlled by light fields. CoRR abs/1809.03225 (2018) - [i13]Dominik Baumann, Jia-Jie Zhu, Georg Martius, Sebastian Trimpe:
Deep Reinforcement Learning for Event-Triggered Control. CoRR abs/1809.05152 (2018) - [i12]Matthias Neumann-Brosig, Alonso Marco, Dieter Schwarzmann, Sebastian Trimpe:
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study. CoRR abs/1812.06325 (2018) - 2017
- [c20]Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe:
On the design of LQR kernels for efficient controller learning. CDC 2017: 5193-5200 - [c19]Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Optimizing Long-term Predictions for Model-based Policy Search. CoRL 2017: 227-238 - [c18]Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe:
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. ICRA 2017: 1557-1563 - [c17]Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe:
Model-based policy search for automatic tuning of multivariate PID controllers. ICRA 2017: 5295-5301 - [i11]Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe:
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization. CoRR abs/1703.01250 (2017) - [i10]Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Sebastian Trimpe:
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers. CoRR abs/1703.02899 (2017) - [i9]Sebastian Trimpe:
Event-based State Estimation: An Emulation-based Approach. CoRR abs/1703.08342 (2017) - [i8]Michael Muehlebach, Sebastian Trimpe:
Distributed Event-Based State Estimation for Networked Systems: An LMI-Approach. CoRR abs/1707.01659 (2017) - [i7]Alonso Marco, Philipp Hennig, Stefan Schaal, Sebastian Trimpe:
On the Design of LQR Kernels for Efficient Controller Learning. CoRR abs/1709.07089 (2017) - 2016
- [j3]Manuel Wüthrich, Sebastian Trimpe, Cristina Garcia Cifuentes, Daniel Kappler, Stefan Schaal:
A new perspective and extension of the Gaussian Filter. Int. J. Robotics Res. 35(14): 1731-1749 (2016) - [c16]Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Franziska Meier, Jeannette Bohg, Jan Issac, Stefan Schaal:
Robust Gaussian filtering using a pseudo measurement. ACC 2016: 3606-3613 - [c15]Sebastian Trimpe:
Predictive and self triggering for event-based state estimation. CDC 2016: 3098-3105 - [c14]Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe:
Automatic LQR tuning based on Gaussian process global optimization. ICRA 2016: 270-277 - [c13]Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal:
Depth-based object tracking using a Robust Gaussian Filter. ICRA 2016: 608-615 - [c12]Simon Ebner, Sebastian Trimpe:
Communication rate analysis for event-based state estimation. WODES 2016: 189-196 - [i6]Jan Issac, Manuel Wüthrich, Cristina Garcia Cifuentes, Jeannette Bohg, Sebastian Trimpe, Stefan Schaal:
Depth-Based Object Tracking Using a Robust Gaussian Filter. CoRR abs/1602.06157 (2016) - [i5]Alonso Marco, Philipp Hennig, Jeannette Bohg, Stefan Schaal, Sebastian Trimpe:
Automatic LQR Tuning Based on Gaussian Process Global Optimization. CoRR abs/1605.01950 (2016) - [i4]Sebastian Trimpe:
Predictive and Self Triggering for Event-based State Estimation. CoRR abs/1609.07534 (2016) - 2015
- [c11]Michael Muehlebach, Sebastian Trimpe:
LMI-based synthesis for distributed event-based state estimation. ACC 2015: 4060-4067 - [c10]Michael Muehlebach, Sebastian Trimpe:
Guaranteed ℋ2 performance in distributed event-based state estimation. EBCCSP 2015: 1-8 - [c9]Sebastian Trimpe, Marco C. Campi:
On the choice of the event trigger in event-based estimation. EBCCSP 2015: 1-8 - [c8]Sebastian Trimpe, Jonas Buchli:
Event-based estimation and control for remote robot operation with reduced communication. ICRA 2015: 5018-5025 - [c7]Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal:
A New Perspective and Extension of the Gaussian Filter. Robotics: Science and Systems 2015 - [i3]Manuel Wüthrich, Sebastian Trimpe, Daniel Kappler, Stefan Schaal:
A New Perspective and Extension of the Gaussian Filter. CoRR abs/1504.07941 (2015) - [i2]Manuel Wüthrich, Cristina Garcia Cifuentes, Sebastian Trimpe, Stefan Schaal:
Robust Gaussian Filtering. CoRR abs/1509.04072 (2015) - [i1]Sebastian Trimpe:
Distributed Event-based State Estimation. CoRR abs/1511.05223 (2015) - 2014
- [j2]Sebastian Trimpe, Raffaello D'Andrea:
A Limiting Property of the Matrix Exponential. IEEE Trans. Autom. Control. 59(4): 1105-1110 (2014) - [j1]Sebastian Trimpe, Raffaello D'Andrea:
Event-Based State Estimation With Variance-Based Triggering. IEEE Trans. Autom. Control. 59(12): 3266-3281 (2014) - [c6]Sebastian Trimpe:
Stability analysis of distributed event-based state estimation. CDC 2014: 2013-2019 - 2012
- [c5]Sebastian Trimpe, Raffaello D'Andrea:
Event-based state estimation with variance-based triggering. CDC 2012: 6583-6590 - 2011
- [c4]Sebastian Trimpe, Raffaello D'Andrea:
Reduced communication state estimation for control of an unstable networked control system. CDC/ECC 2011: 2361-2368 - 2010
- [c3]Sebastian Trimpe, Raffaello D'Andrea:
Accelerometer-based tilt estimation of a rigid body with only rotational degrees of freedom. ICRA 2010: 2630-2636
2000 – 2009
- 2009
- [c2]Sebastian Trimpe, Raffaello D'Andrea:
A limiting property of the matrix exponential with application to multi-loop control. CDC 2009: 6419-6425 - 2007
- [c1]Andreas Kwiatkowski, Sebastian Trimpe, Herbert Werner:
Less conservative polytopic LPV models for charge control by combining parameter set mapping and set intersection. CDC 2007: 3363-3368
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
