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Machine learning approaches for detection of robot errors in human brain signals
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Learning motion skills for a humanoid robot
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Adaptive human-robot policy blending for shared control teleoperation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning