Machine learning approaches for detection of robot errors in human brain signals
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
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Physics-informed regression of implicitly-constrained robot dynamics
Latent State-Space Models for Control
Neural network full-body human predictive models and their use for coordinated robot motion planning