Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Learning continuous human-robot interactions from human-human demonstrations
Adaptive human-robot policy blending for shared control teleoperation
Self-supervised learning of primitive-based robotic manipulation