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Jonas Umlauft
Jonas Umlauft
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Title
Cited by
Cited by
Year
Uniform error bounds for gaussian process regression with application to safe control
A Lederer, J Umlauft, S Hirche
Advances in Neural Information Processing Systems 32, 2019
1462019
Feedback linearization based on Gaussian processes with event-triggered online learning
J Umlauft, S Hirche
IEEE Transactions on Automatic Control 65 (10), 4154-4169, 2019
1122019
An uncertainty-based control Lyapunov approach for control-affine systems modeled by Gaussian process
J Umlauft, L Pöhler, S Hirche
IEEE Control Systems Letters 2 (3), 483-488, 2018
832018
Feedback linearization using Gaussian processes
J Umlauft, T Beckers, M Kimmel, S Hirche
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5249-5255, 2017
712017
Learning Stable Gaussian Process State Space Models
J Umlauft, A Lederer, S Hirche
2017 American Control Conference (ACC) 1, 6428-6434, 2017
422017
Scenario-based optimal control for Gaussian process state space models
J Umlauft, T Beckers, S Hirche
2018 European Control Conference (ECC), 1386-1392, 2018
382018
Dynamic movement primitives for cooperative manipulation and synchronized motions
J Umlauft, D Sieber, S Hirche
2014 IEEE International Conference on Robotics and Automation (ICRA), 766-771, 2014
342014
Stable model-based control with Gaussian process regression for robot manipulators
T Beckers, J Umlauft, S Hirche
IFAC-PapersOnLine 50 (1), 3877-3884, 2017
312017
Localized active learning of Gaussian process state space models
A Capone, G Noske, J Umlauft, T Beckers, A Lederer, S Hirche
Learning for Dynamics and Control, 490-499, 2020
302020
Stable Gaussian process based tracking control of Lagrangian systems
T Beckers, J Umlauft, D Kulic, S Hirche
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5180-5185, 2017
292017
Gaussian process-based real-time learning for safety critical applications
A Lederer, AJO Conejo, KA Maier, W Xiao, J Umlauft, S Hirche
International Conference on Machine Learning, 6055-6064, 2021
262021
Learning stable stochastic nonlinear dynamical systems
J Umlauft, S Hirche
International Conference on Machine Learning, 3502-3510, 2017
262017
Smart forgetting for safe online learning with Gaussian processes
J Umlauft, T Beckers, A Capone, A Lederer, S Hirche
Learning for dynamics and control, 160-169, 2020
252020
Mean square prediction error of misspecified Gaussian process models
T Beckers, J Umlauft, S Hirche
2018 IEEE Conference on Decision and Control (CDC), 1162-1167, 2018
252018
Gaussian processes for dynamic movement primitives with application in knowledge-based cooperation
Y Fanger, J Umlauft, S Hirche
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
242016
How training data impacts performance in learning-based control
A Lederer, A Capone, J Umlauft, S Hirche
IEEE Control Systems Letters 5 (3), 905-910, 2020
222020
Real-time regression with dividing local Gaussian processes
A Lederer, AJO Conejo, K Maier, W Xiao, J Umlauft, S Hirche
arXiv preprint arXiv:2006.09446, 2020
182020
Learning stochastically stable Gaussian process state–space models
J Umlauft, S Hirche
IFAC Journal of Systems and Control 12, 100079, 2020
182020
Bayesian Uncertainty Modeling for Programming by Demonstration
J Umlauft, Y Fanger, S Hirche
2017 IEEE International Conference on Robotics and Automation (ICRA) 1, 6428 …, 2017
182017
The impact of data on the stability of learning-based control
A Lederer, A Capone, T Beckers, J Umlauft, S Hirche
Learning for Dynamics and Control, 623-635, 2021
162021
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