Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Learning motion skills for a humanoid robot
Learning continuous human-robot interactions from human-human demonstrations
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Computational methods for cognitive and cooperative robotics
Combining learning and structure for robotic manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach