What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Control theory
- Statistics
Her scientific interests lie mostly in Haptic technology, Simulation, Robot, Control theory and Control system.
Her Haptic technology research is multidisciplinary, incorporating elements of Telerobotics, Perception, Data stream mining and Virtual reality.
Her studies in Simulation integrate themes in fields like Deadband, Real-time computing, Teleoperation and Network packet.
She combines subjects such as Control engineering, Control and Task with her study of Robot.
Her Control theory study integrates concerns from other disciplines, such as Tracking and Estimator.
Her Control system research incorporates elements of Control theory, Linear system and Scheduling.
Her most cited work include:
- Bilateral teleoperation over the internet: the time varying delay problem (220 citations)
- Perception-Based Data Reduction and Transmission of Haptic Data in Telepresence and Teleaction Systems (159 citations)
- The role of roles: Physical cooperation between humans and robots (148 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Control theory, Robot, Control system, Mathematical optimization and Artificial intelligence.
Her work in the fields of Control theory, Optimal control and Nonlinear system overlaps with other areas such as Transformation.
The concepts of her Robot study are interwoven with issues in Control engineering, Haptic technology, Task and Human–computer interaction.
Her work is dedicated to discovering how Haptic technology, Telerobotics are connected with Simulation and other disciplines.
She works mostly in the field of Control system, limiting it down to concerns involving Scheduling and, occasionally, Distributed computing.
When carried out as part of a general Mathematical optimization research project, her work on Linear-quadratic-Gaussian control is frequently linked to work in Gaussian process, therefore connecting diverse disciplines of study.
She most often published in these fields:
- Control theory (27.35%)
- Robot (17.94%)
- Control system (17.04%)
What were the highlights of her more recent work (between 2017-2021)?
- Gaussian process (13.90%)
- Mathematical optimization (15.92%)
- Control (13.23%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Gaussian process, Mathematical optimization, Control, Control system and Control theory.
The Mathematical optimization study combines topics in areas such as Nonparametric statistics, Probabilistic logic, Data set and System dynamics.
Her research in Control focuses on subjects like Optimal control, which are connected to Control theory.
Her Control system research is multidisciplinary, incorporating elements of Scheduling, Computer network, Transmission and Distributed computing.
Sandra Hirche has researched Control theory in several fields, including Bounded function and Task.
Her Task research integrates issues from Control engineering and Haptic technology.
Between 2017 and 2021, her most popular works were:
- Age-of-information vs. value-of-information scheduling for cellular networked control systems (45 citations)
- Stable Gaussian process based tracking control of Euler–Lagrange systems (38 citations)
- AoI-Penalty Minimization for Networked Control Systems with Packet Loss (29 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
Her main research concerns Gaussian process, Control system, Mathematical optimization, Algorithm and State space.
Her research in Control system intersects with topics in Telecommunications network, Scheduling, Computer network and Artificial intelligence.
The concepts of her Artificial intelligence study are interwoven with issues in Sensitivity, State and Pattern recognition.
Her research investigates the link between Mathematical optimization and topics such as Control that cross with problems in Local area network and Automation.
The subject of her Nonlinear system research is within the realm of Control theory.
Her studies deal with areas such as Jerk and Affine transformation as well as Control theory.
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