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Strategieplanungen für das hybride Recycling in der Automobilindustrie
An architectural framework for self-configuration and self-improvement at runtime
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
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