Research Assistant


Picture of Armin Lederer

M.Sc. Armin Lederer

Technical University of Munich

Chair of Information-oriented Control (Prof. Hirche)

Short Biography

  • 06/2018 - present: PhD candidate at Chair of Information-Oriented Control (ITR), Technical University of Munich (TUM), Germany
  • 10/2015 - 04/2018: M.Sc. in Electrical and Information Engineering, Technical University of Munich (TUM), Germany.
  • 10/2012 - 09/2015: B.Sc. in Electrical and Information Engineering, Technical University of Munich (TUM), Germany.

Research Interests

  • System identification using probabilistic machine learning
  • Nonlinear model predictive control based on learned probabilistic dynamical models
  • Real-time learning in control
  • Safe model-based reinforcement learning

Current Projects

  • Error Bounds for Gaussian Process Regression with Compactly Supported Kernels [PDF]
  • Information Measures for Data Selection in Gaussian Process Learning Control [PDF]
  • Gaussian Process Latent Variable Dynamical Models for Motor Symptom Estimation in People with Parkinson's Disease [PDF]

Selected Publications

2023

  • A. Lederer; A. Begzadi; N. Das; S. Hirche: Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 more… BibTeX
  • N. Das; J. Umlauft; A. Lederer; A. Capone; T. Beckers; S. Hirche: Deep Learning based Uncertainty Decomposition for Real-time Control. 2023, The 22nd World Congress of the International Federation of Automatic Control, 2023 more… BibTeX

2022

  • A. Capone; A. Lederer; S. Hirche: Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. Proceedings of the 39th International Conference on Machine Learning, 2022 more… BibTeX
  • A. J. Ordóñez-Conejo; A. Lederer; S. Hirche: Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. Proceedings of the European Control Conference, 2022, 2234-2240 more… BibTeX
  • A. Lederer; M. Zhang; S. Tesfazgi; S. Hirche: Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. Proceedings of the IEEE Conference on Control Technology and Applications, 2022 more… BibTeX
  • A. Lederer; Z. Yang; J. Jiao; S. Hirche: Cooperative Control of Uncertain Multi-Agent Systems via Distributed Gaussian Processes. IEEE Transactions on Automatic Control, 2022 more… BibTeX
  • P. Bevanda; M. Beier; S. Kerz; A. Lederer; S. Sosnowski; S. Hirche: Diffeomorphically Learning Stable Koopman Operators. IEEE Control Systems Letters (L-CSS), 2022 more… BibTeX
  • S. Curi; A. Lederer; S. Hirche; A. Krause: Safe Reinforcement Learning via Confidence-Based Filters. Proceedings of the IEEE Conference on Decision and Control, 2022 more… BibTeX

2021

  • A. Lederer; A. Capone; T. Beckers; J. Umlauft; S. Hirche: The Impact of Data on the Stability of Learning-Based Control - Extended Version. Learning for Dynamics and Control, 2021 more… BibTeX
  • Budde gen. Dohmann, Pablo; Lederer, Armin; Dißemond, Marcel; Hirche, Sandra: Distributed Bayesian Online Learning for Cooperative Manipulation. 2021 60th IEEE Conference on Decision and Control (CDC), IEEE, 2021 more… BibTeX
  • A. Lederer; A. J. Ordóñez Conejo; K. Maier; W. Xiao; J. Umlauft; S. Hirche: Gaussian Process-Based Real-Time Learning for Safety Critical Applications. Proceedings of the 38th International Conference on Machine Learning (Proceedings of Machine Learning Research 139), 2021, 6055-6064 more… BibTeX
  • S. Tesfazgi; A. Lederer; S. Hirche: Inverse Reinforcement Learning: A Control Lyapunov Approach. Proceedings of the 60th Conference on Decision and Control (CDC), 2021 more… BibTeX
  • Z. Yang; S. Sosnowski; Q. Liu; J. Jiao; A. Lederer; S. Hirche: Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes. 60th Conference on Decision and Control (CDC), IEEE, 2021 more… BibTeX

2020

  • A. Capone; G.Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized active learning of Gaussian process state space models. Learning for Dynamics & Control, 2020 more… BibTeX
  • A. Capone; A. Lederer; J. Umlauft; S. Hirche: Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control Systems Letters 5 (3), 2020, 959-964 more… BibTeX
  • A. Capone; G. Noske; J. Umlauft; T. Beckers; A. Lederer; S. Hirche: Localized Active Learning of Gaussian Process State Space Models. 2020 more… BibTeX
  • A. Lederer; A. Capone; S. Hirche: Parameter Optimization for Learning-based Control of Control-Affine Systems. Learning for Dynamics & Control, 2020 more… BibTeX
  • A. Lederer; M. Kessler; S. Hirche: GP3: A Sampling-based Analysis Framework for Gaussian Processes. Proceedings of the 21st IFAC World Congress , 2020 more… BibTeX
  • A. Lederer; Q. Hao; S. Hirche: Confidence Regions for Simulations with Learned Probabilistic Models. Proceedings of the American Control Conference (ACC), 2020 more… BibTeX
  • A. Lederer; A. Capone; J. Umlauft; S. Hirche: How Training Data Impacts Performance in Learning-based Control. IEEE Control Systems Letters 5 (3), 2020, 905-910 more… BibTeX
  • Capone, Alexandre, Lederer, Armin, Hirche, Sandra: Anticipating Learning in Multi-Step Ahead Predictions of Learning-Based Control. IFAC World Congress 2020, 2020 more… BibTeX
  • J. Umlauft; T. Beckers; A. Capone; A. Lederer; S. Hirche: Smart Forgetting for Safe Online Learning with Gaussian Processes. Learning for Dynamics & Control, 2020 more… BibTeX
  • W. Xiao; A. Lederer; S. Hirche: Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. Proceedings of the 21st IFAC World Congress , 2020 more… BibTeX

2019

  • A. Lederer; J. Umlauft; S. Hirche: Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. arXiv preprint: arXiv:1906.01404, 2019 more… BibTeX
  • A. Lederer; J. Umlauft; S. Hirche: Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. Conference on Neural Information Processing Systems (NeurIPS), 2019 more… BibTeX
  • A. Lederer; S. Hirche: Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes. Proceedings of the 58th Conference on Decision and Control (CDC) , 2019 more… BibTeX
  • A. Lederer; J. Umlauft; S. Hirche: Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. Conference on Neural Information Processing Systems (NeurIPS), 2019 more… BibTeX

2017

  • J. Umlauft; A. Lederer; S. Hirche: Learning Stable Gaussian Process State Space Models. American Control Conference (ACC), IEEE, 2017 more… BibTeX