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Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Learning motion skills for a humanoid robot
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
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
AI-based Wave Prediction in Complex Plasmas
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator