Person

Alexander von Rohr

M. Sc.

Doctoral Researcher

Alexander von Rohr Copyright: © Alexander von Rohr
Lehrstuhl für Data Science im Maschinenbau

Address

Building: 6050

Room: A 2.11

Dennewartstraße 27

52068 Aachen

Contact

WorkPhone
Phone: +49 241 80 92049
 

My research is at the intersection between machine learning and robust control. The main topic of my dissertation is learning probabilistic robust controllers (a.k.a. policies), that are provably robust against uncertainty inherent in learning from data. I am also actively working on Bayesian optimization in the context of reinforcement learning and controller tuning.

The first part of my PhD took place the Max Planck Institute for Intelligent Systems where I was a member of the Intelligent Control Systems Group lead by Prof. Sebastian Trimpe. In 2020 our research group moved to the RWTH Aachen University where we are now forming the Institute for Data Science in Mechanical Engineering. I am an associated student of the International Max Planck Research School for Intelligent Systems IMPRS-IS and my PhD is supported by IAV.

Please find more information on my personal website.

 

Publications

Source Author(s)
[Preprint]
On Controller Tuning with Time-Varying Bayesian Optimization, 2022
[DOI: 10.48550/ARXIV.2207.11120]
Brunzema, Paul Jakob (Corresponding author)
Von Rohr, Alexander (Corresponding author)
Trimpe, Johann Sebastian
[Preprint]
Local policy search with Bayesian optimization, 2021
Müller, Sarah
von Rohr, Alexander
Trimpe, Johann Sebastian
[Contribution to a book, Contribution to a conference proceedings]
Local policy search with Bayesian optimization
[Thirty-fifth Conference on Neural Information Processing Systems, NeurIPS 2021], 20708-20720, 2021
Müller, Sarah
von Rohr, Alexander
Trimpe, Johann Sebastian
[Preprint]
Probabilistic robust linear quadratic regulators with Gaussian processes, 2021
von Rohr, Alexander (Corresponding author)
Neumann-Brosig, Matthias (Corresponding author)
Trimpe, Johann Sebastian (Corresponding author)
[Contribution to a book, Contribution to a conference proceedings]
Probabilistic robust linear quadratic regulators with Gaussian processes
Learning for Dynamics and Control, 7-8 June 2021, The Cloud / Editors: Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, [1]-12, 2021
von Rohr, Alexander (Corresponding author)
Neumann-Brosig, Matthias (Corresponding author)
Trimpe, Johann Sebastian (Corresponding author)
[Preprint]
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures, 2020
Marco, Alonso
von Rohr, Alexander
Baumann, Dominik Oliver
Hernández-Lobato, José Miguel
Trimpe, Johann Sebastian
[Preprint]
A Learnable Safety Measure
Conference on Robot Learning Osaka, 2019
Heim, Steve
von Rohr, Alexander
Trimpe, Johann Sebastian
Badri-Spröwitz, Alexander
[Contribution to a book, Contribution to a conference proceedings]
Gait learning for soft microrobots controlled by light fields
Towards a robotic society : 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems : October, 1-5, 2018, Madrid, Spain, Madrid Municipal Conference Centre / IROS, Madrid, 2018 ; IEEE, RA, IES, RSJ, SICE, NTF - New Technology Foundation, UC3M - Universidad Carlos III de Madrid, 6199-6206, 2018
[DOI: 10.1109/IROS.2018.8594092]
von Rohr, Alexander (Corresponding author)
Trimpe, Johann Sebastian (Corresponding author)
Marco, Alonso (Corresponding author)
Fischer, Peer (Corresponding author)
Palagi, Stefano (Corresponding author)