Adaptive human-robot policy blending for shared control teleoperation
An architectural framework for self-configuration and self-improvement at runtime
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Combining learning and structure for robotic manipulation
Computational methods for cognitive and cooperative robotics
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Fully bayesian vehicle tracking using extended object models
Fully bayesian vehicle tracking using extended object models
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Latent State-Space Models for Control
Learning continuous human-robot interactions from human-human demonstrations