Sandra Hirche

Sandra Hirche

Technische Universität München

H-index: 53

Europe-Germany

About Sandra Hirche

Sandra Hirche, With an exceptional h-index of 53 and a recent h-index of 38 (since 2020), a distinguished researcher at Technische Universität München,

His recent articles reflect a diverse array of research interests and contributions to the field:

Innovation-triggered Learning for Data-driven Predictive Control: Deterministic and Stochastic Formulations

Consistency of Value of Information: Effects of Packet Loss and Time Delay in Networked Control Systems Tasks

Koopman kernel regression

Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions

Sharp Calibrated Gaussian Processes

Decentralized Zeno-Free Event-Triggered Control For Multiple Networks Subject to Stochastic Network Delays and Poisson Pulsing Attacks

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression

Data-Driven Momentum Observers With Physically Consistent Gaussian Processes

Sandra Hirche Information

University

Position

___

Citations(all)

11431

Citations(since 2020)

6523

Cited By

7285

hIndex(all)

53

hIndex(since 2020)

38

i10Index(all)

239

i10Index(since 2020)

160

Email

University Profile Page

Technische Universität München

Google Scholar

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Top articles of Sandra Hirche

Title

Journal

Author(s)

Publication Date

Innovation-triggered Learning for Data-driven Predictive Control: Deterministic and Stochastic Formulations

arXiv preprint arXiv:2401.15824

Kaikai Zheng

Dawei Shi

Sandra Hirche

Yang Shi

2024/1/29

Consistency of Value of Information: Effects of Packet Loss and Time Delay in Networked Control Systems Tasks

arXiv preprint arXiv:2403.11932

Touraj Soleymani

John S Baras

Siyi Wang

Sandra Hirche

Karl H Johansson

2024/3/18

Koopman kernel regression

Petar Bevanda

Max Beier

Armin Lederer

Stefan Sosnowski

Eyke Hüllermeier

...

2024/2

Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions

arXiv preprint arXiv:2403.08054

Tzu-Yuan Huang

Xiaobing Dai

Sihua Zhang

Alexandre Capone

Velimir Todorovski

...

2024/3/12

Sharp Calibrated Gaussian Processes

Advances in Neural Information Processing Systems

Alexandre Capone

Sandra Hirche

Geoff Pleiss

2024/2/13

Decentralized Zeno-Free Event-Triggered Control For Multiple Networks Subject to Stochastic Network Delays and Poisson Pulsing Attacks

arXiv preprint arXiv:2401.14750

Dandan Zhang

Sandra Hirche

Stefan Sosnowski

Xin Jin

Hongye Su

2024/1/26

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression

arXiv preprint arXiv:2402.03014

Zewen Yang

Xiaobing Dai

Akshat Dubey

Sandra Hirche

Georges Hattab

2024/2/5

Data-Driven Momentum Observers With Physically Consistent Gaussian Processes

IEEE Transactions on Robotics

Giulio Evangelisti

Sandra Hirche

2024/2/20

Risk-averse Learning with Non-Stationary Distributions

arXiv preprint arXiv:2404.02988

Siyi Wang

Zifan Wang

Xinlei Yi

Michael M Zavlanos

Karl H Johansson

...

2024/4/3

A Learning-based Online Controller Tuning Method for Electric Motors using Gaussian Processes

Authorea Preprints

Zhenxiao Yin

Xiaobing Dai

Zewen Yang

Dianxun Xiao

Filippo Menolascina

...

2024/1/25

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem

arXiv preprint arXiv:2402.09575

Wenhan Cao

Alexandre Capone

Sandra Hirche

Wei Pan

2024/2/14

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies

arXiv preprint arXiv:2402.03048

Zewen Yang

Songbo Dong

Armin Lederer

Xiaobing Dai

Siyu Chen

...

2024/2/5

Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems

IEEE Transactions on Automation Science and Engineering

Qingchen Liu

Zengjie Zhang

Nhan Khanh Le

Jiahu Qin

Fangzhou Liu

...

2024/3/21

Pri-GP: Prior-Aware Distributed Gaussian Process Regression

Zewen Yang

Xiaobing Dai

Akshat Dubey

Sandra Hirche

Georges Hattab

2024

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression

arXiv preprint arXiv:2402.03174

Xiaobing Dai

Zewen Yang

Mengtian Xu

Fangzhou Liu

Georges Hattab

...

2024/2/5

Foundations of Value of Information: A Semantic Metric for Networked Control Systems Tasks

arXiv preprint arXiv:2403.11927

Touraj Soleymani

John S Baras

Sandra Hirche

Karl H Johansson

2024/3/18

Infinite-horizon optimal scheduling for feedback control

arXiv preprint arXiv:2402.08819

Siyi Wang

Sandra Hirche

2024/2/13

Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A Pilot Study

Simone Nertinger

Neha Das

Endo Satoshi

Abdeldjallil Naceri

Sandra Hirche

...

2023/9/24

Risk-Sensitive Inhibitory Control for Safe Reinforcement Learning

Armin Lederer

Erfaun Noorani

John S Baras

Sandra Hirche

2023/12/13

Hybrid robotic and electrical stimulation assistance can enhance performance and reduce mental demand

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Lucille Cazenave

Martin Einenkel

Aaron Yurkewich

Satoshi Endo

Sandra Hirche

...

2023/10/10

See List of Professors in Sandra Hirche University(Technische Universität München)