Adaptive human-robot policy blending for shared control teleoperation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Sampling-based exploration strategies for mobile robot autonomy
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
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
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