Sebastian Trimpe

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Dominik BaumannAalto University, Espoo, FinlandVerified email at aalto.fi
Friedrich SolowjowRWTH Aachen UniversityVerified email at dsme.rwth-aachen.de
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
Philipp HennigUniversity of TübingenVerified email at uni-tuebingen.de
Frank AllgöwerUniversity of StuttgartVerified email at ist.uni-stuttgart.de
Marco ZimmerlingProfessor, TU DarmstadtVerified email at tu-darmstadt.de
Fabian MagerPostdoc, Networked Embedded Systems Lab, TU DarmstadtVerified email at tu-darmstadt.de
Johannes KöhlerPostDoc at ETH ZurichVerified email at ethz.ch
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de
Alexander von RohrRWTH Aachen UniversityVerified email at dsme.rwth-aachen.de
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Christian FiedlerPhD student, Institute for Data Science in Mechanical Engineering, RWTH Aachen UniversityVerified email at dsme.rwth-aachen.de
Andreas DoerrSenior Applied Scientist @ Amazon AWS, ex. Bosch Center for AI, MPI for Intelligent SystemsVerified email at tuebingen.mpg.de
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Mona Buisson-FenetPhD Student, Mines Paris, Centre Automatique et SystèmesVerified email at mines-paristech.fr
Lothar ThieleProfessor of Computer Engineering, ETH ZurichVerified email at ethz.ch

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	265	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	265	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	215	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	166	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	141	2017
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	133	2020
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	121	2018
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	88	2019
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	87	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	85	2011
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	78	2016
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	65	2019
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	60	2014
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	60	2010
Actively learning gaussian process dynamics M Buisson-Fenet, F Solowjow, S Trimpe Learning for dynamics and control, 5-15, 2020	59	2020
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	58	2018
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	53	2017
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	48	2015
Wireless control for smart manufacturing: Recent approaches and open challenges D Baumann, F Mager, U Wetzker, L Thiele, M Zimmerling, S Trimpe Proceedings of the IEEE 109 (4), 441-467, 2020	47	2020
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	46	2012

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