Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Learning motion skills for a humanoid robot
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Sampling-based exploration strategies for mobile robot autonomy
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
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Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning