Sebastian Trimpe

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Dominik BaumannDepartment of Information Technology, Uppsala University, SwedenVerified email at it.uu.se
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Alonso MarcoUniversity of California BerkeleyVerified email at berkeley.edu
Raffaello D'AndreaETH ZurichVerified email at ethz.ch
Friedrich SolowjowMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Frank AllgöwerUniversity of StuttgartVerified email at ist.uni-stuttgart.de
Marco ZimmerlingProfessor, University of FreiburgVerified email at cs.uni-freiburg.de
Fabian MagerPhD Student, Networked Embedded Systems Lab, TU DresdenVerified email at tu-dresden.de
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Andreas DoerrSenior Applied Scientist @ Amazon AWS, ex. Bosch Center for AI, MPI for Intelligent SystemsVerified email at tuebingen.mpg.de
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Johannes KöhlerPostDoc at ETH ZurichVerified email at ethz.ch
Alexander von RohrRWTH Aachen UniversityVerified email at dsme.rwth-aachen.de
Cristina Garcia CifuentesMax Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Lothar ThieleProfessor of Computer Engineering, ETH ZurichVerified email at ethz.ch
Manuel WüthrichEconCS, Harvard UniversityVerified email at seas.harvard.edu

Sebastian Trimpe

Professor, RWTH Aachen University

Verified email at dsme.rwth-aachen.de - Homepage

Control Machine Learning Networked Systems Robotics


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Event-based state estimation with variance-based triggering S Trimpe, R D'Andrea IEEE Transactions on Automatic Control 59 (12), 3266-3281, 2014	230	2014
Event-based state estimation with variance-based triggering S Trimpe, R D'Andrea Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 6583-6590, 2012	230	2012
Learning an approximate model predictive controller with guarantees M Hertneck, J Köhler, S Trimpe, F Allgöwer IEEE Control Systems Letters 2 (3), 543-548, 2018	144	2018
Automatic LQR tuning based on Gaussian process global optimization A Marco, P Hennig, J Bohg, S Schaal, S Trimpe Robotics and Automation (ICRA), 2016 IEEE International Conference on, 270-277, 2016	126	2016
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization A Marco, F Berkenkamp, P Hennig, AP Schoellig, A Krause, S Schaal, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 1557-1563, 2017	111	2017
Probabilistic recurrent state-space models A Doerr, C Daniel, M Schiegg, D Nguyen-Tuong, S Schaal, M Toussaint, ... International Conference on Machine Learning (ICML) 80, 1280-1289, 2018	88	2018
An experimental demonstration of a distributed and event-based state estimation algorithm S Trimpe, R D'Andrea IFAC Proceedings Volumes 44 (1), 8811-8818, 2011	81	2011
Learning-based robust model predictive control with state-dependent uncertainty R Soloperto, MA Müller, S Trimpe, F Allgöwer IFAC-PapersOnLine 51 (20), 442-447, 2018	62	2018
Depth-based object tracking using a robust gaussian filter J Issac, M Wüthrich, CG Cifuentes, J Bohg, S Trimpe, S Schaal 2016 IEEE International Conference on Robotics and Automation (ICRA), 608-615, 2016	58	2016
Safe and fast tracking on a robot manipulator: Robust mpc and neural network control J Nubert, J Köhler, V Berenz, F Allgöwer, S Trimpe IEEE Robotics and Automation Letters 5 (2), 3050-3057, 2020	55	2020
Accelerometer-based tilt estimation of a rigid body with only rotational degrees of freedom S Trimpe, R D'Andrea 2010 IEEE International Conference on Robotics and Automation, 2630-2636, 2010	53	2010
A Self-Tuning LQR Approach Demonstrated on an Inverted Pendulum S Trimpe, A Millane, S Doessegger, R D’Andrea Proc. of the 19th IFAC World Congress, 2014	51	2014
Data-efficient autotuning with bayesian optimization: An industrial control study M Neumann-Brosig, A Marco, D Schwarzmann, S Trimpe IEEE Transactions on Control Systems Technology 28 (3), 730-740, 2019	50	2019
Distributed event-based state estimation for networked systems: An LMI approach M Muehlebach, S Trimpe IEEE Transactions on Automatic Control 63 (1), 269-276, 2017	47	2017
Feedback control goes wireless: Guaranteed stability over low-power multi-hop networks F Mager, D Baumann, R Jacob, L Thiele, S Trimpe, M Zimmerling Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019	44	2019
Deep reinforcement learning for event-triggered control D Baumann, JJ Zhu, G Martius, S Trimpe 2018 IEEE Conference on Decision and Control (CDC), 943-950, 2018	43	2018
On the Choice of the Event Trigger in Event-based Estimation S Trimpe, MC Campi Event-based Control, Communication, and Signal Processing (EBCCSP), 2015 …, 2015	42	2015
The Balancing Cube: A dynamic sculpture as test bed for distributed estimation and control S Trimpe, R D’Andrea IEEE Control Systems Magazine 32 (6), 48-75, 2012	39	2012
Optimizing Long-term Predictions for Model-based Policy Search A Doerr, C Daniel, D Nguyen-Tuong, A Marco, S Schaal, M Toussaint, ... Conference on Robot Learning, 227-238, 2017	36	2017
Model-based policy search for automatic tuning of multivariate PID controllers A Doerr, D Nguyen-Tuong, A Marco, S Schaal, S Trimpe 2017 IEEE International Conference on Robotics and Automation (ICRA), 5295-5301, 2017	33	2017

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