World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
11599
World Ranking
4336
National Ranking
193

Electronics and Electrical Engineering

D-Index
55
Citations
11787
World Ranking
2180
National Ranking
66

Research.com Recognitions

  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Sandra Hirche is affiliated with the Technical University of Munich in Germany. Their main fields of study encompass Engineering and Computer Science, with a strong focus on various subfields such as Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, and Statistical and Nonlinear Physics.

The core research topics covered by Sandra Hirche include Advanced Control Systems Optimization, Gaussian Processes and Bayesian Inference, Control Systems and Identification, Fault Detection and Control Systems, Stability and Control of Uncertain Systems, Distributed Control Multi-Agent Systems, and Age of Information Optimization.

In recent scholarly work, Sandra Hirche has contributed to several papers published in respected venues. Notable examples include:

  • Fully Distributed Cooperation for Networked Uncertain Mobile Manipulators (2020), published in IEEE Transactions on Robotics
  • Distributed Control for Cooperative Manipulation With Event-Triggered Communication (2020), published in IEEE Transactions on Robotics
  • High-Resolution Motor State Detection in Parkinson's Disease Using Convolutional Neural Networks (2020), published in Scientific Reports
  • Inverse Optimal Control from Incomplete Trajectory Observations (2021), published in The International Journal of Robotics Research
  • Value of Information in Feedback Control: Quantification (2021), published in IEEE Transactions on Automatic Control

Frequent co-authors collaborating with Sandra Hirche include:

  • Armin Lederer
  • Stefan Sosnowski
  • Alexandre Capone
  • John S. Baras
  • Xiaobing Dai

Publication venues commonly chosen by Sandra Hirche cover a range of outlets such as:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • IEEE Control Systems Letters
  • IEEE Transactions on Automatic Control
  • 2021 60th IEEE Conference on Decision and Control (CDC)

Among book publications, Sandra Hirche has contributed to titles published by Springer Science+Business Media and Frontiers Media. These include:

  • Communications, Signal Processing, and Systems (2022)
  • Sensing Technology (2022)
  • Recent Advances in Electrical Engineering, Electronics and Energy (2022)
  • Wearable Robotics in the Rehabilitation Continuum of Care: Assessment, Treatment and Home Assistance (2023)

Sandra Hirche holds an award as a Member of the European Academy of Sciences and Arts.

Best Publications

  • Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

    Terry T. Um;Franz M. J. Pfister;Daniel Pichler;Satoshi Endo

  • Bilateral teleoperation over the internet: the time varying delay problem

    N. Chopra;M.W. Spong;S. Hirche;M. Buss

  • The role of roles: Physical cooperation between humans and robots

    Alexander Mörtl;Martin Lawitzky;Ayse Kucukyilmaz;Metin Sezgin

  • Human-Oriented Control for Haptic Teleoperation

    S. Hirche;M. Buss

  • Perception-Based Data Reduction and Transmission of Haptic Data in Telepresence and Teleaction Systems

    P. Hinterseer;S. Hirche;S. Chaudhuri;E. Steinbach

  • Haptic Communications

    E. Steinbach;S. Hirche;M. Ernst;F. Brandi

  • On the Optimality of Certainty Equivalence for Event-Triggered Control Systems

    Adam Molin;S. Hirche

  • Koopman operator dynamical models: Learning, analysis and control

    Petar Bevanda;Stefan Sosnowski;Sandra Hirche

  • Control Sharing in Human-Robot Team Interaction

    Selma Musić;Sandra Hirche

  • Age-of-information vs. value-of-information scheduling for cellular networked control systems

    Onur Ayan;Mikhail Vilgelm;Markus Klügel;Sandra Hirche

  • A Human-Robot Interaction Perspective on Assistive and Rehabilitation Robotics.

    Philipp Beckerle;Gionata Salvietti;Ramazan Unal;Domenico Prattichizzo

  • Stable Gaussian process based tracking control of Euler–Lagrange systems

    Thomas Beckers;Dana Kulić;Sandra Hirche

  • Constrained robot control using control barrier functions

    Manuel Rauscher;Melanie Kimmel;Sandra Hirche

  • Feedback Linearization Based on Gaussian Processes With Event-Triggered Online Learning

    Jonas Umlauft;Sandra Hirche

  • A distributed controller approach for delay-independent stability of networked control systems

    Sandra Hirche;Tilemachos Matiakis;Martin Buss

  • Stationary Consensus of Asynchronous Discrete-Time Second-Order Multi-Agent Systems Under Switching Topology

    Jiahu Qin;Changbin Yu;S. Hirche

  • Internal Force Analysis and Load Distribution for Cooperative Multi-Robot Manipulation

    Sebastian Erhart;Sandra Hirche

  • Cloud-Based Networked Visual Servo Control

    Haiyan Wu;Lei Lou;Chih-Chung Chen;S. Hirche

  • On LQG joint optimal scheduling and control under communication constraints

    Adam Molin;Sandra Hirche

  • Haptic Data Compression and Communication

    E Steinbach;S Hirche;J Kammerl;I Vittorias

  • Event-Based Control

    Lars Grüne;Sandra Hirche;Oliver Junge;Péter Koltai

Frequent Co-Authors

Martin Buss
Martin Buss Technical University of Munich
Eckehard Steinbach
Eckehard Steinbach Technical University of Munich
Dongheui Lee
Dongheui Lee Technical University of Munich
Dana Kulic
Dana Kulic Monash University
Wolfgang Kellerer
Wolfgang Kellerer Technical University of Munich
John S. Baras
John S. Baras University of Maryland, College Park
Yoshihiko Nakamura
Yoshihiko Nakamura Mohamed bin Zayed University of Artificial Intelligence
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Domenico Prattichizzo
Domenico Prattichizzo University of Siena

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