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ORCIDArmin Lederer
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2020 – today
- 2024
[c21]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. ACC 2024: 560-567- [c20]Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche:
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. ECC 2024: 90-97 - [i31]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 abs/2402.03048 (2024) - [i30]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 abs/2405.08711 (2024) - [i29]Samuel Tesfazgi, Leonhard Sprandl, Armin Lederer, Sandra Hirche:
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes. CoRR abs/2405.08756 (2024) - [i28]Armin Lederer, Azra Begzadic, Sandra Hirche, Jorge Cortés, Sylvia Herbert:
Safe Barrier-Constrained Control of Uncertain Systems via Event-triggered Learning. CoRR abs/2408.16144 (2024) - 2023
- [j6]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: 2665-2670 (2023) - [j5]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): 7825-7832 (2023) - [j4]Armin Lederer, Zewen Yang, Junjie Jiao, Sandra Hirche:
Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes. IEEE Trans. Autom. Control. 68(5): 3091-3098 (2023) - [c19]Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche:
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CDC 2023: 1040-1045 - [c18]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: 445-457 - [c17]Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche:
Koopman Kernel Regression. NeurIPS 2023 - [i27]Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche:
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States. CoRR abs/2303.17963 (2023) - [i26]Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche:
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. CoRR abs/2305.08169 (2023) - [i25]Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche:
Koopman Kernel Regression. CoRR abs/2305.16215 (2023) - [i24]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. CoRR abs/2307.04415 (2023) - [i23]Armin Lederer, Erfaun Noorani, John S. Baras, Sandra Hirche:
Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning. CoRR abs/2310.01538 (2023) - 2022
- [j3]Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche:
Diffeomorphically Learning Stable Koopman Operators. IEEE Control. Syst. Lett. 6: 3427-3432 (2022) - [c16]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: 1285-1292 - [c15]Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause:
Safe Reinforcement Learning via Confidence-Based Filters. CDC 2022: 3409-3415 - [c14]Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche:
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. ECC 2022: 2234-2240 - [c13]Alexandre Capone, Armin Lederer, Sandra Hirche:
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. ICML 2022: 2609-2624 - [i22]Armin Lederer, Mingmin Zhang, Samuel Tesfazgi, Sandra Hirche:
Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes. CoRR abs/2202.11491 (2022) - [i21]Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause:
Safe Reinforcement Learning via Confidence-Based Filters. CoRR abs/2207.01337 (2022) - [i20]Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche:
Uncertainty-Aware Visual Perception for Safe Motion Planning. CoRR abs/2209.06936 (2022) - [i19]Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche:
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. CoRR abs/2212.00478 (2022) - 2021
- [j2]Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche:
How Training Data Impacts Performance in Learning-Based Control. IEEE Control. Syst. Lett. 5(3): 905-910 (2021) - [j1]Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche:
Data Selection for Multi-Task Learning Under Dynamic Constraints. IEEE Control. Syst. Lett. 5(3): 959-964 (2021) - [c12]Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche:
Distributed Bayesian Online Learning for Cooperative Manipulation. CDC 2021: 2888-2895 - [c11]Samuel Tesfazgi, Armin Lederer, Sandra Hirche:
Inverse Reinforcement Learning: A Control Lyapunov Approach. CDC 2021: 3627-3632 - [c10]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: 4406-4411 - [c9]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: 6055-6064 - [c8]Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Impact of Data on the Stability of Learning-Based Control. L4DC 2021: 623-635 - [i18]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control. CoRR abs/2101.05328 (2021) - [i17]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 abs/2103.15929 (2021) - [i16]Pablo Budde gen. Dohmann, Armin Lederer, Marcel Dißemond, Sandra Hirche:
Distributed Bayesian Online Learning for Cooperative Manipulation. CoRR abs/2104.04342 (2021) - [i15]Samuel Tesfazgi, Armin Lederer, Sandra Hirche:
Inverse Reinforcement Learning a Control Lyapunov Approach. CoRR abs/2104.04483 (2021) - [i14]Alexandre Capone, Armin Lederer, Sandra Hirche:
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications. CoRR abs/2109.02606 (2021) - [i13]Samuel Tesfazgi, Armin Lederer, Johannes F. Kunz, Alejandro Jose Ordóñez Conejo, Sandra Hirche:
Personalized Rehabilitation Robotics based on Online Learning Control. CoRR abs/2110.00481 (2021) - [i12]Alejandro Jose Ordóñez Conejo, Armin Lederer, Sandra Hirche:
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes. CoRR abs/2111.03617 (2021) - [i11]Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche:
KoopmanizingFlows: Diffeomorphically Learning Stable Koopman Operators. CoRR abs/2112.04085 (2021) - 2020
- [c7]Armin Lederer, Qing Hao, Sandra Hirche:
Confidence Regions for Simulations with Learned Probabilistic Models. ACC 2020: 3947-3952 - [c6]Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche:
Smart Forgetting for Safe Online Learning with Gaussian Processes. L4DC 2020: 160-169 - [c5]Armin Lederer, Alexandre Capone, Sandra Hirche:
Parameter Optimization for Learning-based Control of Control-Affine Systems. L4DC 2020: 465-475 - [c4]Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. L4DC 2020: 490-499 - [i10]Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. CoRR abs/2005.02191 (2020) - [i9]Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche:
Data selection for multi-task learning under dynamic constraints. CoRR abs/2005.03270 (2020) - [i8]Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche:
How Training Data Impacts Performance in Learning-based Control. CoRR abs/2005.12062 (2020) - [i7]Wenxin Xiao, Armin Lederer, Sandra Hirche:
Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression. CoRR abs/2006.07868 (2020) - [i6]Armin Lederer, Markus Kessler, Sandra Hirche:
GP3: A Sampling-based Analysis Framework for Gaussian Processes. CoRR abs/2006.07871 (2020) - [i5]Armin Lederer, Alejandro Jose Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Sandra Hirche:
Real-Time Regression with Dividing Local Gaussian Processes. CoRR abs/2006.09446 (2020) - [i4]Jonas Umlauft, Armin Lederer, Thomas Beckers, Sandra Hirche:
Real-time Uncertainty Decomposition for Online Learning Control. CoRR abs/2010.02613 (2020) - [i3]Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche:
The Value of Data in Learning-Based Control for Training Subset Selection. CoRR abs/2011.10596 (2020)
2010 – 2019
- 2019
- [c3]Armin Lederer, Sandra Hirche:
Local Asymptotic Stability Analysis and Region of Attraction Estimation with Gaussian Processes. CDC 2019: 1766-1771 - [c2]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. NeurIPS 2019: 657-667 - [i2]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. CoRR abs/1906.01376 (2019) - [i1]Armin Lederer, Jonas Umlauft, Sandra Hirche:
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. CoRR abs/1906.01404 (2019) - 2017
- [c1]Jonas Umlauft, Armin Lederer, Sandra Hirche:
Learning stable Gaussian process state space models. ACC 2017: 1499-1504
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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