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Sebastian Trimpe

Observed names: Trimpe Sebastian, Trimpe, Johann Sebastian, Trimpe, Sebastian
Observed institutions: Max Planck Society, Bilkent University, ETH Zurich, Max Planck Institute for Intelligent Systems, Ansys (France), Institute for Dynamic Systems and Control, KTH Royal Institute of Technology, RWTH Aachen University, Stanford University
ORCID: 0000-0002-2785-2487
Observed ORCID: 0000-0002-2785-2487
OpenAlex ID: A5023990842
Learning an Approximate Model Predictive Controller With Guarantees
2018 · Michael Hertneck, Johannes Kohler, et al. · IEEE Control Systems Letters · 278
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Event-Based State Estimation With Variance-Based Triggering
2014 · Sebastian Trimpe, Raffaello D'Andrea · IEEE Transactions on Automatic Control · 264
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
2020 · Julian Nubert, Johannes Kohler, et al. · IEEE Robotics and Automation Letters · 239
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Automatic LQR tuning based on Gaussian process global optimization
2016 · Alonso Marco, Philipp Hennig, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 144
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Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization
2017 · Alonso Marco, Felix Berkenkamp, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 118
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Data-Efficient Autotuning With Bayesian Optimization: An Industrial Control Study
2019 · Matthias Neumann-Brosig, Alonso Marco, et al. · IEEE Transactions on Control Systems Technology · 109
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Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty
2018 · Raffaele Soloperto, Matthias A. Müller, et al. · IFAC-PapersOnLine · 89
Deep Reinforcement Learning for Event-Triggered Control
2018 · Dominik Baumann, Jia-Jie Zhu, et al. · IEEE Conference on Decision and Control (CDC) · 81
Depth-based object tracking using a Robust Gaussian Filter
2016 · Jan Issac, Manuel Wuthrich, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 79
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An Experimental Demonstration of a Distributed and Event-Based State Estimation Algorithm
2011 · Sebastian Trimpe, Raffaello D'Andrea · IFAC Proceedings Volumes · 76
Wireless Control for Smart Manufacturing: Recent Approaches and Open Challenges
2020 · Dominik Baumann, Fabian Mager, et al. · Proceedings of the IEEE · 74
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Distributed Event-Based State Estimation for Networked Systems: An LMI Approach
2017 · Michael Muehlebach, Sebastian Trimpe · IEEE Transactions on Automatic Control · 62
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Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 · Christian Fiedler, Carsten W. Scherer, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 60
Probabilistic Recurrent State-Space Models
2018 · Doerr, Andreas, Daniel, Christian, et al. · arXiv (Cornell University) · 59
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Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
2020 · Matteo Turchetta, Andreas Krause, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 52
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A Self-Tuning LQR Approach Demonstrated on an Inverted Pendulum
2014 · Sebastian Trimpe, Alexander Millane, et al. · IFAC Proceedings Volumes · 52
Feedback control goes wireless
2019 · Fabian Mager, Dominik Baumann, et al. · ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) · 50
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Accelerometer-based tilt estimation of a rigid body with only rotational degrees of freedom
2010 · Sebastian Trimpe, Raffaello D'Andrea · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 49
Sliding Mode Control with Gaussian Process Regression for Underwater Robots
2020 · Gabriel S. Lima, Sebastian Trimpe, et al. · Journal of Intelligent & Robotic Systems · 48
Event-triggered learning
2020 · Friedrich Solowjow, Sebastian Trimpe · Automatica · 44
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On the choice of the event trigger in event-based estimation
2015 · Sebastian Trimpe, Marco C. Campi · International Conference on Event-based Control, Communication, and Signal Processing · 44
Actively Learning Gaussian Process Dynamics
2019 · Buisson-Fenet, Mona, Solowjow, Friedrich, et al. · arXiv (Cornell University) · 40
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The Balancing Cube: A Dynamic Sculpture As Test Bed for Distributed Estimation and Control
2012 · Sebastian Trimpe, Raffaello D’Andrea · IEEE Control Systems · 40
Task space adaptation via the learning of gait controllers of magnetic soft millirobots
2021 · Sinan O. Demir, Utku Culha, et al. · The International Journal of Robotics Research · 35
Event-Triggered Learning for Resource-Efficient Networked Control
2018 · Friedrich Solowjow, Dominik Baumann, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 34
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Works count: 240
Citation count: 3,542
H-index: 31
I10-index: 76
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