Sebastian Trimpe

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Dominik BaumannAalto University, Espoo, FinlandCorreu electrònic verificat a aalto.fi
Friedrich SolowjowRWTH Aachen UniversityCorreu electrònic verificat a dsme.rwth-aachen.de
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceCorreu electrònic verificat a google.com
Alonso MarcoUniversity of California BerkeleyCorreu electrònic verificat a berkeley.edu
Raffaello D'AndreaETH ZurichCorreu electrònic verificat a ethz.ch
Christian FiedlerPhD student, Institute for Data Science in Mechanical Engineering, RWTH Aachen UniversityCorreu electrònic verificat a dsme.rwth-aachen.de
Alexander von RohrTU MunichCorreu electrònic verificat a tum.de
Johannes KöhlerPostdoctoral researcher at ETH ZurichCorreu electrònic verificat a ethz.ch
Philipp HennigUniversity of TübingenCorreu electrònic verificat a uni-tuebingen.de
Frank AllgöwerUniversity of Stuttgart, Universität StuttgartCorreu electrònic verificat a ist.uni-stuttgart.de
Marco ZimmerlingProfessor, TU DarmstadtCorreu electrònic verificat a tu-darmstadt.de
Fabian MagerPostdoc, Networked Embedded Systems Lab, TU DarmstadtCorreu electrònic verificat a tu-darmstadt.de
Jeannette BohgAssistant Professor, Stanford UniversityCorreu electrònic verificat a stanford.edu
Duy Nguyen-TuongBosch Center for AI, GermanyCorreu electrònic verificat a robot-learning.de
Mona Buisson-FenetPhD Student, Mines Paris, Centre Automatique et SystèmesCorreu electrònic verificat a mines-paristech.fr
Christian DanielBosch Center for Artificial IntelligenceCorreu electrònic verificat a ias.tu-darmstadt.de
A. René GeistPostdoc, University of TübingenCorreu electrònic verificat a uni-tuebingen.de
Andreas DoerrSenior Applied Scientist @ Amazon AWS, ex. Bosch Center for AI, MPI for Intelligent SystemsCorreu electrònic verificat a tuebingen.mpg.de
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyCorreu electrònic verificat a tu-berlin.de
Lothar ThieleProfessor of Computer Engineering, ETH ZurichCorreu electrònic verificat a ethz.ch

Segueix

Sebastian Trimpe

Professor, RWTH Aachen University

Correu electrònic verificat a dsme.rwth-aachen.de - Pàgina d'inici

Control Machine Learning Networked Systems Robotics


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Event-based state estimation with variance-based triggering S Trimpe, R D'Andrea IEEE Transactions on Automatic Control 59 (12), 3266-3281, 2014	282	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	282	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	279	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	218	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	214	2020
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	172	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	149	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	130	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	119	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	97	2016
Actively learning gaussian process dynamics M Buisson-Fenet, F Solowjow, S Trimpe Learning for dynamics and control, 5-15, 2020	90	2020
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	86	2011
Practical and rigorous uncertainty bounds for Gaussian process regression C Fiedler, CW Scherer, S Trimpe Proceedings of the AAAI conference on artificial intelligence 35 (8), 7439-7447, 2021	78	2021
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	76	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	76	2018
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	69	2020
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	67	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	65	2010
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	62	2017
Sliding mode control with gaussian process regression for underwater robots GS Lima, S Trimpe, WM Bessa Journal of Intelligent & Robotic Systems 99 (3), 487-498, 2020	52	2020

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