Learning Driver Behavior Models for Predicting Urban Traffic Situations
Adaptive human-robot policy blending for shared control teleoperation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Self-supervised learning of primitive-based robotic manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-learning longitudinal control for on-road vehicles
Environment modeling for automated driving using grid-based and object-based representations