Armin Lederer

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 56

Top Topics

Gaussian Process

Top Venues

IEEE Control. Syst. Lett.

Publications

Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, Sandra Hirche
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies. CoRR (2024)
Samuel Tesfazgi, Markus Kessler, Emilio Trigili, Armin Lederer, Sandra Hirche
Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes. CoRR (2024)
Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. ECC (2024)
Samuel Tesfazgi, Leonhard Sprandl, Armin Lederer, Sandra Hirche
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes. CoRR (2024)
Marco Omainska, Junya Yamauchi, Armin Lederer, Sandra Hirche, Masayuki Fujita
Rigid Motion Gaussian Processes With SE(3) Kernel and Application to Visual Pursuit Control. IEEE Control. Syst. Lett. 7 (2023)
Armin Lederer, Jonas Umlauft, Sandra Hirche
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. CoRR (2023)
Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche
Koopman Kernel Regression. NeurIPS (2023)
Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche
Koopman Kernel Regression. CoRR (2023)
Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CoRR (2023)
Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. L4DC (2023)
Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. CoRR (2023)
Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. CoRR (2023)
Armin Lederer, Zewen Yang, Junjie Jiao, Sandra Hirche
Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes. IEEE Trans. Autom. Control. 68 (5) (2023)
Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche
Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation. IEEE Robotics Autom. Lett. 8 (11) (2023)
Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CDC (2023)
Armin Lederer, Mingmin Zhang, Samuel Tesfazgi, Sandra Hirche
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. CCTA (2022)
Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. ECC (2022)
Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche
Uncertainty-Aware Visual Perception for Safe Motion Planning. CoRR (2022)
Alexandre Capone, Armin Lederer, Sandra Hirche
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. ICML (2022)
Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. CoRR (2022)
Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
Safe Reinforcement Learning via Confidence-Based Filters. CDC (2022)
Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
Diffeomorphically Learning Stable Koopman Operators. IEEE Control. Syst. Lett. 6 (2022)
Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
Safe Reinforcement Learning via Confidence-Based Filters. CoRR (2022)
Armin Lederer, Mingmin Zhang, Samuel Tesfazgi, Sandra Hirche
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. CoRR (2022)
Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche
Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control. Syst. Lett. 5 (3) (2021)
Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. CoRR (2021)
Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. CoRR (2021)
Samuel Tesfazgi, Armin Lederer, Sandra Hirche
Inverse Reinforcement Learning a Control Lyapunov Approach. CoRR (2021)
Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche
Distributed Bayesian Online Learning for Cooperative Manipulation. CoRR (2021)
Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
The Impact of Data on the Stability of Learning-Based Control. L4DC (2021)
Armin Lederer, Jonas Umlauft, Sandra Hirche
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control. CoRR (2021)
Alexandre Capone, Armin Lederer, Sandra Hirche
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. CoRR (2021)
Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, Sandra Hirche
Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes. CoRR (2021)
Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche
How Training Data Impacts Performance in Learning-Based Control. IEEE Control. Syst. Lett. 5 (3) (2021)
Armin Lederer, Alejandro Jose Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Jonas Umlauft, Sandra Hirche
Gaussian Process-Based Real-Time Learning for Safety Critical Applications. ICML (2021)
Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche
Distributed Bayesian Online Learning for Cooperative Manipulation. CDC (2021)
Samuel Tesfazgi, Armin Lederer, Sandra Hirche
Inverse Reinforcement Learning: A Control Lyapunov Approach. CDC (2021)
Samuel Tesfazgi, Armin Lederer, Johannes F. Kunz, Alejandro Jose Ordóñez Conejo, Sandra Hirche
Personalized Rehabilitation Robotics based on Online Learning Control. CoRR (2021)
Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, Sandra Hirche
Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes. CDC (2021)
Armin Lederer, Alexandre Capone, Sandra Hirche
Parameter Optimization for Learning-based Control of Control-Affine Systems. L4DC (2020)
Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche
Real-time Uncertainty Decomposition for Online Learning Control. CoRR (2020)
Armin Lederer, Qing Hao, Sandra Hirche
Confidence Regions for Simulations with Learned Probabilistic Models. ACC (2020)
Armin Lederer, Alejandro Jose Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Sandra Hirche
Real-Time Regression with Dividing Local Gaussian Processes. CoRR (2020)
Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche
How Training Data Impacts Performance in Learning-based Control. CoRR (2020)
Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche
The Value of Data in Learning-Based Control for Training Subset Selection. CoRR (2020)
Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
Localized active learning of Gaussian process state space models. CoRR (2020)
Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche
Localized active learning of Gaussian process state space models. L4DC (2020)
Wenxin Xiao, Armin Lederer, Sandra Hirche
Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. CoRR (2020)
Armin Lederer, Markus Kessler, Sandra Hirche
GP3: A Sampling-based Analysis Framework for Gaussian Processes. CoRR (2020)
Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC (2020)
Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche
Data selection for multi-task learning under dynamic constraints. CoRR (2020)
Armin Lederer, Jonas Umlauft, Sandra Hirche
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. CoRR (2019)
Armin Lederer, Sandra Hirche
Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes. CDC (2019)
Armin Lederer, Jonas Umlauft, Sandra Hirche
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. CoRR (2019)
Armin Lederer, Jonas Umlauft, Sandra Hirche
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. NeurIPS (2019)
Jonas Umlauft, Armin Lederer, Sandra Hirche
Learning stable Gaussian process state space models. ACC (2017)