Sandra Hirche

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 281

Top Venues

CoRR

CDC

IEEE Control. Syst. Lett.

ECC

Publications

Tzu-Yuan Huang, Xiaobing Dai, Sihua Zhang, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions. CoRR (2024)
Rui Dai, Giulio Evangelisti, Sandra Hirche
Physically Consistent Modeling & Identification of Nonlinear Friction with Dissipative Gaussian Processes. CoRR (2024)
Cong Li, Qingchen Liu, Jiahu Qin, Martin Buss, Sandra Hirche
Safe Planning and Control Under Uncertainty: A Model-Free Design With One-Step Backward Data. IEEE Trans. Ind. Electron. 71 (1) (2024)
Tzu-Yuan Huang, Sihua Zhang, Xiaobing Dai, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions. IEEE Control. Syst. Lett. 8 (2024)
Giulio Evangelisti, Sandra Hirche
Data-Driven Momentum Observers With Physically Consistent Gaussian Processes. IEEE Trans. Robotics 40 (2024)
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)
Siyi Wang, Sandra Hirche
Infinite-horizon optimal scheduling for feedback control. CoRR (2024)
Lingyun Chen, Abdeldjallil Naceri, Abdalla Swikir, Sandra Hirche, Sami Haddadin
Autonomous and Teleoperation Control of a Drawing Robot Avatar. CoRR (2024)
Siyi Wang, Yulong Gao, Sandra Hirche
Optimal Transmission Power Scheduling for Networked Control System under DoS Attack. 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)
Petar Bevanda, Nicolas Hoischen, Stefan Sosnowski, Sandra Hirche, Boris Houska
Data-Driven Optimal Feedback Laws via Kernel Mean Embeddings. CoRR (2024)
Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. CoRR (2024)
Nhan-Khanh Le, Erfaun Noorani, Sandra Hirche, John S. Baras
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications. CoRR (2024)
Cedric Donié, Marie K. Reumann, Tony Hartung, Benedikt J. Braun, Tina Histing, Satoshi Endo, Sandra Hirche
Predictive Model Development to Identify Failed Healing in Patients after Non-Union Fracture Surgery. CoRR (2024)
Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, Georges Hattab
Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. AAMAS (2024)
Siyi Wang, Zifan Wang, Xinlei Yi, Michael M. Zavlanos, Karl Henrik Johansson, Sandra Hirche
Risk-averse Learning with Non-Stationary Distributions. 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)
Giulio Evangelisti, Cosimo Della Santina, Sandra Hirche
Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes. CoRR (2024)
Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan
Computation-Aware Learning for Stable Control with Gaussian Process. CoRR (2024)
Petar Bevanda, Bas Driessen, Lucian-Cristian Iacob, Roland Tóth, Stefan Sosnowski, Sandra Hirche
Nonparametric Control-Koopman Operator Learning: Flexible and Scalable Models for Prediction and Control. CoRR (2024)
Touraj Soleymani, John S. Baras, Siyi Wang, Sandra Hirche, Karl Henrik Johansson
Consistency of Value of Information: Effects of Packet Loss and Time Delay in Networked Control Systems Tasks. CoRR (2024)
Rui Dai, Giulio Evangelisti, Sandra Hirche
Physically consistent modeling & identification of nonlinear friction with dissipative Gaussian processes. L4DC (2024)
Kaikai Zheng, Dawei Shi, Sandra Hirche, Yang Shi
Innovation-triggered Learning for Data-driven Predictive Control: Deterministic and Stochastic Formulations. CoRR (2024)
Dandan Zhang, Sandra Hirche, Stefan Sosnowski, Xin Jin, Hongye Su
Decentralized Zeno-Free Event-Triggered Control For Multiple Networks Subject to Stochastic Network Delays and Poisson Pulsing Attacks. CoRR (2024)
Lingyun Chen, Abdeldjallil Naceri, Abdalla Swikir, Sandra Hirche, Sami Haddadin
Autonomous and Teleoperation Control of a Drawing Robot Avatar. ICRA (2024)
Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan
Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem. CoRR (2024)
Touraj Soleymani, John S. Baras, Sandra Hirche, Karl Henrik Johansson
Foundations of Value of Information: A Semantic Metric for Networked Control Systems Tasks. CoRR (2024)
Samuel Tesfazgi, Leonhard Sprandl, Armin Lederer, Sandra Hirche
Stable Inverse Reinforcement Learning: Policies from Control Lyapunov Landscapes. CoRR (2024)
Onur Ayan, Sandra Hirche, Anthony Ephremides, Wolfgang Kellerer
Optimal Finite Horizon Scheduling of Wireless Networked Control Systems. IEEE/ACM Trans. Netw. 32 (2) (2024)
Xiaobing Dai, Zewen Yang, Mengtian Xu, Fangzhou Liu, Georges Hattab, Sandra Hirche
Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression. 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)
Samuel Tesfazgi, Ronan Sangouard, Satoshi Endo, Sandra Hirche
Uncertainty-aware automated assessment of the arm impedance with upper-limb exoskeletons. Frontiers Neurorobotics 17 (2023)
Emilio Trigili, Sandra Hirche
Editorial: Wearable robotics in the rehabilitation continuum of care: assessment, treatment and home assistance. Frontiers Neurorobotics 17 (2023)
Junjie Jiao, Dipankar Maity, John S. Baras, Sandra Hirche
Actuator Scheduling for Linear Systems: A Convex Relaxation Approach. IEEE Control. Syst. Lett. 7 (2023)
Alexandre Capone, Geoff Pleiss, Sandra Hirche
Sharp Calibrated Gaussian Processes. CoRR (2023)
Xiaobing Dai, Zewen Yang, Mengtian Xu, Sandra Hirche
Distributed Event-Triggered Online Learning for Multi-Agent System Control using Gaussian Process Regression. CoRR (2023)
Armin Lederer, Jonas Umlauft, Sandra Hirche
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors. CoRR (2023)
Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates. CoRR (2023)
Alexandre Capone, Sandra Hirche, Geoff Pleiss
Sharp Calibrated Gaussian Processes. NeurIPS (2023)
Yuan Gao, Junjie Jiao, Sandra Hirche
H2 suboptimal containment control of multi-agent systems. ACC (2023)
Xiaobing Dai, Huanzhuo Wu, Siyi Wang, Junjie Jiao, Giang T. Nguyen, Frank H. P. Fitzek, Sandra Hirche
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing. CoRR (2023)
Lucille Cazenave, Aaron Yurkewich, Chiara Höhler, Thierry Keller, Carmen Krewer, Klaus Jahn, Sandra Hirche, Satoshi Endo, Etienne Burdet
Hybrid Functional Electrical Stimulation and Robotic Assistance for Wrist Motion Training After Stroke: Preliminary Results. ICORR (2023)
Jiacheng Li, Qingchen Liu, Wanxin Jin, Jiahu Qin, Sandra Hirche
Robust Safe Learning and Control in an Unknown Environment: An Uncertainty-Separated Control Barrier Function Approach. IEEE Robotics Autom. Lett. 8 (10) (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)
Touraj Soleymani, John S. Baras, Sandra Hirche, Karl Henrik Johansson
Value of Information in Feedback Control: Global Optimality. IEEE Trans. Autom. Control. 68 (6) (2023)
Siyi Wang, Sandra Hirche
Value of Information in Remote Estimation Subject to Delay and Packet Dropouts. CDC (2023)
Qingchen Liu, Zengjie Zhang, Nhan Khanh Le, Jiahu Qin, Fangzhou Liu, Sandra Hirche
Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems. CoRR (2023)
Alexandre Capone, Junjie Jiao, Mostafa Zarei, Shiqi Zhang, Sandra Hirche
Robust H∞ Consensus for Homogeneous Multi-agent Systems with Parametric Uncertainties. ACC (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)
Jan Brüdigam, Stefan Sosnowski, Zachary Manchester, Sandra Hirche
Variational Integrators and Graph-Based Solvers for Multibody Dynamics in Maximal Coordinates. CoRR (2023)
Simone Nertinger, Neha Das, Satoshi Endo, Abdeldjallil Naceri, Sandra Hirche, Sami Haddadin
Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A Pilot Study. ICORR (2023)
Di Liu, Simone Baldi, Sandra Hirche
Collision Avoidance in Longitudinal Platooning: Graceful Degradation and Adaptive Designs. IEEE Control. Syst. Lett. 7 (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)
Yuan Gao, Junjie Jiao, Zhongkui Li, Sandra Hirche
H2 suboptimal containment control of homogeneous and heterogeneous multi-agent systems. 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)
Neha Das, Satoshi Endo, Sabrina Patel, Carmen Krewer, Sandra Hirche
Online detection of compensatory strategies in human movement with supervised classification: a pilot study. Frontiers Neurorobotics 17 (2023)
Alexandre Capone, Tim Brüdigam, Sandra Hirche
Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach. CoRR (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)
Cedric Donié, Neha Das, Satoshi Endo, Sandra Hirche
Time Series Classification for Detecting Parkinson's Disease from Wrist Motions. CoRR (2023)
Hossein Kavianirad, Moein Forouhar, Hamid Sadeghian, Satoshi Endo, Sami Haddadin, Sandra Hirche
Model-Based Shared Control of a Hybrid FES-Exoskeleton: An Application in Participant-Specific Robotic Rehabilitation. ICORR (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)
Maximilian Kneissl, Adam Molin, Hasan Esen, Sandra Hirche
Any-Time Feasible Coordination for Multivehicle Systems. IEEE Trans. Control. Syst. Technol. 30 (5) (2022)
Petar Bevanda, Max Beier, Shahab Heshmati-Alamdari, Stefan Sosnowski, Sandra Hirche
Towards Data-driven LQR with KoopmanizingFlows. CoRR (2022)
Mohammadhadi Balaghiinaloo, Duarte J. Antunes, Mohammad H. Mamduhi, Sandra Hirche
Decentralized LQ-Consistent Event-Triggered Control Over a Shared Contention-Based Network. IEEE Trans. Autom. Control. 67 (3) (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)
Giulio Evangelisti, Sandra Hirche
Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes. CoRR (2022)
Thomas Beckers, Sandra Hirche
Prediction With Approximated Gaussian Process Dynamical Models. IEEE Trans. Autom. Control. 67 (12) (2022)
Junjie Jiao, Alexandre Capone, Sandra Hirche
Backstepping Tracking Control Using Gaussian Processes With Event-Triggered Online Learning. IEEE Control. Syst. Lett. 6 (2022)
Thomas Beckers, Leonardo J. Colombo, Sandra Hirche, George J. Pappas
Online Learning-Based Trajectory Tracking for Underactuated Vehicles With Uncertain Dynamics. IEEE Control. Syst. Lett. 6 (2022)
Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. CoRR (2022)
Junjie Jiao, Dipankar Maity, John S. Baras, Sandra Hirche
Actuator Scheduling for Linear Systems: A Convex Relaxation Approach. CoRR (2022)
Touraj Soleymani, John S. Baras, Sandra Hirche
Value of Information in Feedback Control: Quantification. IEEE Trans. Autom. Control. 67 (7) (2022)
Martin Schuck, Jan Brüdigam, Alexandre Capone, Stefan Sosnowski, Sandra Hirche
Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control. CoRR (2022)
Dipankar Maity, Mohammad H. Mamduhi, Sandra Hirche, Karl Henrik Johansson
Optimal LQG Control of Networked Systems Under Traffic-Correlated Delay and Dropout. IEEE Control. Syst. Lett. 6 (2022)
Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
Safe Reinforcement Learning via Confidence-Based Filters. CDC (2022)
Touraj Soleymani, John S. Baras, Sandra Hirche, Karl Henrik Johansson
Feedback Control Over Noisy Channels: Characterization of a General Equilibrium. IEEE Trans. Autom. Control. 67 (7) (2022)
Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. L4DC (2022)
Petar Bevanda, Max Beier, Sebastian Kerz, Armin Lederer, Stefan Sosnowski, Sandra Hirche
Diffeomorphically Learning Stable Koopman Operators. IEEE Control. Syst. Lett. 6 (2022)
Petar Bevanda, Johannes Kirmayr, Stefan Sosnowski, Sandra Hirche
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach. ACC (2022)
Giulio Evangelisti, Sandra Hirche
Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes. CDC (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)
Thomas Beckers, Sandra Hirche, Leonardo Colombo
Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CDC (2021)
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)
Thomas Beckers, Sandra Hirche, Leonardo Colombo
Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes. CoRR (2021)
Jan Brüdigam, Jana Janeva, Stefan Sosnowski, Sandra Hirche
Linear-Time Contact and Friction Dynamics in Maximal Coordinates using Variational Integrators. CoRR (2021)
Junjie Jiao, Henk J. van Waarde, Harry L. Trentelman, M. Kanat Camlibel, Sandra Hirche
. CDC (2021)
Mohammad H. Mamduhi, Dipankar Maity, Sandra Hirche, John S. Baras, Karl Henrik Johansson
Delay-Sensitive Joint Optimal Control and Resource Management in Multiloop Networked Control Systems. IEEE Trans. Control. Netw. Syst. 8 (3) (2021)
Samuel Tesfazgi, Armin Lederer, Sandra Hirche
Inverse Reinforcement Learning a Control Lyapunov Approach. CoRR (2021)
Siyi Wang, Qingchen Liu, Precious Ugo Abara, John S. Baras, Sandra Hirche
Value of Information in Networked Control Systems Subject to Delay. CDC (2021)
Nhan Khanh Le, Yang Liu, Quang Minh Nguyen, Qingchen Liu, Fangzhou Liu, Quanwei Cai, Sandra Hirche
FedXGBoost: Privacy-Preserving XGBoost for Federated Learning. CoRR (2021)
Petar Bevanda, Stefan Sosnowski, Sandra Hirche
Koopman Operator Dynamical Models: Learning, Analysis and Control. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sandra Hirche