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Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Artificial Intelligence Empowered Models for UAV Communications
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Learning continuous human-robot interactions from human-human demonstrations
Adaptive human-robot policy blending for shared control teleoperation
Self-supervised learning of primitive-based robotic manipulation
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Intelligent System for Railway Joint Diagnostics
Computational methods for cognitive and cooperative robotics
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots