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https://www.itr.ei.tum.de/en/umlauft/

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ResearcherID: Q-7027-2016

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Employment (1)

Technical University Munich: Munich, DE

2015-05-01 to present (Department of Electrical and Computer Engineering)
Employment
Source: Self-asserted source
Jonas Umlauft

Works (14)

Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves

2019-06-04 | Preprint
ARXIV: arXiv:1906.01404v1
Source: Self-asserted source
Jonas Umlauft

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control

2019-06-04 | Preprint
ARXIV: arXiv:1906.01376v1
Source: Self-asserted source
Jonas Umlauft

A Scenario-based Optimal Control Approach for Gaussian Process State Space Models

European Control Conference (ECC)
2018 | Conference paper
Source: Self-asserted source
Jonas Umlauft

Mean Square Prediction Error of Misspecified Gaussian Process Models

Conference on Decision and Control (CDC)
2018-12 | Conference paper
DOI: 10.1109/CDC.2018.8619163
Source: Self-asserted source
Jonas Umlauft

Uncertainty-based Human Trajectory Tracking with Stable Gaussian Process State Space Models

IFAC Conference on Cyber-Physical & Human Systems (CPHS)
2018-12 | Conference paper
Source: Self-asserted source
Jonas Umlauft

An Uncertainty-Based Control Lyapunov Approach for Control-Affine Systems Modeled by Gaussian Process

IEEE Control Systems Letters
2018-07 | Journal article
DOI: 10.1109/LCSYS.2018.2841961
Source: Self-asserted source
Jonas Umlauft

Stable Model-based Control with Gaussian Process Regression for Robot Manipulators

World Congress of the International Federation of Automatic Control (IFAC)
2017 | Conference paper
Source: Self-asserted source
Jonas Umlauft

Feedback linearization using Gaussian processes

Conference on Decision and Control (CDC)
2017-12 | Conference paper
DOI: 10.1109/CDC.2017.8264435
Source: Self-asserted source
Jonas Umlauft

Stable Gaussian process based tracking control of Lagrangian systems

Conference on Decision and Control (CDC)
2017-12 | Conference paper
DOI: 10.1109/CDC.2017.8264427
Source: Self-asserted source
Jonas Umlauft

Learning Stable Stochastic Nonlinear Dynamical Systems

International Conference on Machine Learning (ICML)
2017-08 | Conference paper
Source: Self-asserted source
Jonas Umlauft

Bayesian Uncertainty Modeling for Programming by Demonstration

International Conference on Robotics and Automation (ICRA)
2017-05 | Conference paper
DOI: 10.1109/ICRA.2017.7989759
Source: Self-asserted source
Jonas Umlauft

Learning Stable Gaussian Process State Space Models

American Control Conference (ACC)
2017-05 | Conference paper
DOI: 10.23919/ACC.2017.7963165
Source: Self-asserted source
Jonas Umlauft

Gaussian processes for dynamic movement primitives with application in knowledge-based cooperation

International Conference on Intelligent Robots and Systems (IROS)
2016-10 | Conference paper
DOI: 10.1109/IROS.2016.7759576
Source: Self-asserted source
Jonas Umlauft

Dynamic Movement Primitives for Cooperative Manipulation and Synchronized Motions

2014 Ieee International Conference on Robotics and Automation (Icra)
2014 | Book chapter
WOSUID:

WOS:000377221100113
Contributors: Umlauft, Jonas; Sieber, Dominik; Hirche, Sandra; IEEE
Source: Self-asserted source
Jonas Umlauft via ResearcherID
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