Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Computational methods for cognitive and cooperative robotics
Self-supervised learning of primitive-based robotic manipulation
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Neural network full-body human predictive models and their use for coordinated robot motion planning
Automotive fault diagnosis - part II: a distributed agent diagnostic system
A methodology for photometric validation in vehicles visual interactive systems
Unconstrained licence plate and text localization and recognition
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Kernel regression for travel time estimation via convex optimization