Research Assistant


Foto von Thomas Beckers

M.Sc. Thomas Beckers

Technische Universität München

Lehrstuhl für Informationstechnische Regelung (Prof. Hirche)

Postadresse

Postal:
Barerstr. 21
80333 München

Short biography

  • Since 06/2013: PhD student at the Institute for Information-oriented control,
    Faculty of Electrical Engineering and Information Technology, Technical University of Munich, Germany.
  • 10/2010-05/2013: M.Sc. in Electrical Engineering, Technische Universität Carolo-Wilhelmina zu Braunschweig, Brunswick, Germany.
  • 10/2007-10/2010: B.Sc. in Electrical Engineering, Technische Universität Carolo-Wilhelmina zu Braunschweig, Brunswick, Germany.
  • A full cv is available here.

Research Interests

  • Probabilistic system identification and control, stochastic systems, adaptive control, data-driven based control, stability analysis
  • Gaussian Processes, kernel methods, nonparametric models, learning curves, robust learning

Additional materials

Video: Simulation of Stable Gaussian Process based Tracking Control

Video: Robot manipulator with Gaussian Process based Tracking Control

Video: Keep soft robots soft

Presentations

  • 53. Regelungstechnisches Kolloquium in Boppard [pdf]

Working Field

  • ERC Starting Grant "Control based on Human Models (con-humo)"

Publications

2019

  • T. Beckers; D. Kulić; S. Hirche: Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems. Automatica (103), 2019, 390-397 mehr… BibTeX
  • T. Beckers; S. Bansal, C.J. Tomlin; S. Hirche: Closed-loop Model Selection for Kernel-based Models Using Bayesian Optimization. Proceedings of the 58th Conference on Decision and Control (CDC), 2019 mehr… BibTeX
  • T. Beckers; S. Hirche: Keep soft robots soft - a data-driven based trade-off between feed-forward and feedback control. Workshop on Robust autonomy: tools for safety in real-world uncertain environments (RSS 2019), 2019 mehr… BibTeX

2018

  • J. Umlauft; T. Beckers; S. Hirche: A Scenario-based Optimal Control Approach for Gaussian Process State Space Models. Proceedings of the European Control Conference (ECC), 2018 mehr… BibTeX
  • T. Beckers; S. Hirche: Gaussian Process based Passivation of a Class of Nonlinear Systems with Unknown Dynamics. Proceedings of the European Control Conference (ECC), 2018 mehr… BibTeX
  • T. Beckers; J. Umlauft; S. Hirche: Mean Square Prediction Error of Misspecified Gaussian Process Models. Proceedings of the 57th Conference on Decision and Control (CDC), 2018 mehr… BibTeX

2017

  • J. Umlauft; T. Beckers; M. Kimmel; S. Hirche: Feedback Linearization using Gaussian Processes. Proceedings of the Conference on Decision and Control (CDC), IEEE, 2017 mehr… BibTeX
  • T. Beckers; J. Umlauft; D. Kulić; S. Hirche: Stable Gaussian Process based Tracking Control of Lagrangian Systems. Proceedings of the 56th Conference on Decision and Control (CDC), 2017 mehr… BibTeX
  • T. Beckers; J. Umlauft; S. Hirche: Stable Model-based Control with Gaussian Process Regression for Robot Manipulators. Proceedings of the 20th IFAC World Congress, 2017 mehr… BibTeX

2016

  • T. Beckers; S. Hirche: Equilibrium distributions and stability analysis of Gaussian Process State Space Models. Proceedings of the 55th Conference on Decision and Control (CDC), 2016 mehr… BibTeX
  • T. Beckers; S. Hirche: Stability of Gaussian Process State Space Models. Proceedings of the European Control Conference (ECC), 2016 mehr… BibTeX

2014

  • K. Friedl; W. Zhou; M. Rank; A. Ergin; T. Beckers; A. Mahdizadeh; A. Peer; S. Hirche: Haptik von Bedienelementen und Interieurkomponenten im Fahrzeug. SFB453 T5, DFG, 2014, mehr… BibTeX
  • T. Beckers; S. Hirche: Stability of Gaussian Process Dynamical Systems. 2014 mehr… BibTeX

2010

  • R. Geise; J. Schueuer; L. Thiele; K. Notté; T. Beckers; A. Enders: A Slotted Waveguide Setup as Scaled Instrument-Landing-System for Measuring Scattering of an A380 and Large Objects. The Forth European Conference on Antennas and Propagation (EuCap), 2010 mehr… BibTeX