An architectural framework for self-configuration and self-improvement at runtime
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Machine learning approaches for detection of robot errors in human brain signals
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Combining learning and structure for robotic manipulation
Latent State-Space Models for Control
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making