
LinearTime Contact and Friction Dynamics in Maximal Coordinates using Variational Integrators
Simulation of contact and friction dynamics is an important basis for co...
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Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for SafetyCritical Applications
Gaussian processes have become a promising tool for various safetycriti...
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Distributed Event and SelfTriggered Coverage Control with Speed Constrained Unicycle Robots
Voronoi coverage control is a particular problem of importance in the ar...
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Gaussian Processbased Stochastic Model Predictive Control for Overtaking in Autonomous Racing
A fundamental aspect of racing is overtaking other race cars. Whereas pr...
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Inverse Reinforcement Learning a Control Lyapunov Approach
Inferring the intent of an intelligent agent from demonstrations and sub...
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Distributed Bayesian Online Learning for Cooperative Manipulation
For tasks where the dynamics of multiple agents are physically coupled, ...
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Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control
In application areas where data generation is expensive, Gaussian proces...
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The Value of Data in LearningBased Control for Training Subset Selection
Despite the existence of formal guarantees for learningbased control ap...
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Fisher Information of a Family of Generalized Normal Distributions
In this brief note we compute the Fisher information of a family of gene...
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Realtime Uncertainty Decomposition for Online Learning Control
Safetycritical decisions based on machine learning models require a cle...
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Safe learningbased trajectory tracking for underactuated vehicles with partially unknown dynamics
Underactuated vehicles have gained much attention in the recent years du...
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Anticipating the LongTerm Effect of Online Learning in Control
Control schemes that learn using measurement data collected online are i...
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Prediction with Gaussian Process Dynamical Models
The modeling and simulation of dynamical systems is a necessary step for...
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RealTime Regression with Dividing Local Gaussian Processes
The increased demand for online prediction and the growing availability ...
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GP3: A Samplingbased Analysis Framework for Gaussian Processes
Although machine learning is increasingly applied in control approaches,...
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Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression
Modelling real world systems involving humans such as biological process...
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How Training Data Impacts Performance in Learningbased Control
When first principle models cannot be derived due to the complexity of t...
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AoIbased Finite Horizon Scheduling for Heterogeneous Networked Control Systems
Age of information (AoI) measures information freshness at the receiver....
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Localized active learning of Gaussian process state space models
The performance of learningbased control techniques crucially depends o...
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Closedloop Model Selection for Kernelbased Models using Bayesian Optimization
Kernelbased nonparametric models have become very attractive for model...
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Keep soft robots soft  a datadriven based tradeoff between feedforward and feedback control
Tracking control for soft robots is challenging due to uncertainties in ...
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Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves
The posterior variance of Gaussian processes is a valuable measure of th...
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Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Datadriven models are subject to model errors due to limited and noisy ...
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AgeofInformation vs. ValueofInformation Scheduling for Cellular Networked Control Systems
AgeofInformation (AoI) is a recently introduced metric for network ope...
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Value of Information in Feedback Control
In this article, we investigate the impact of information on networked c...
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Mean Square Prediction Error of Misspecified Gaussian Process Models
Nonparametric modeling approaches show very promising results in the are...
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Fully distributed cooperation for networked uncertain mobile manipulators
This paper investigates the fully distributed cooperation scheme for net...
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A Multilayer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease
The assessment of Parkinson's disease (PD) poses a significant challenge...
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Parkinson's Disease Assessment from a WristWorn Wearable Sensor in FreeLiving Conditions: Deep Ensemble Learning and Visualization
Parkinson's Disease (PD) is characterized by disorders in motor function...
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Stable Gaussian Process based Tracking Control of EulerLagrange Systems
Perfect tracking control for realworld EulerLagrange systems is challe...
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Inverse Optimal Control with Incomplete Observations
In this article, we consider the inverse optimal control problem given i...
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Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
While convolutional neural networks (CNNs) have been successfully applie...
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Sandra Hirche
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