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Maschinelles Lernen
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Learning physical intuition for robotic manipulation
AI-based Wave Prediction in Complex Plasmas
Biologically inspired locomotion of compliant robots
Providing and assessing intelligible explanations in autonomous driving
Automatic Vehicle Detection and Identification using Visual Features
LSTM-oriented Handover Decision-making with SVR-based Mobility Prediction in 5G Vehicular Networks
Modelling and Simulation of Spacecraft Hardware based on Machine Learning Techniques
Path Following using Frequency Modulated Continuous Wave millimetre-wave Automotive Radar
Model learning for trajectory tracking of robot manipulators
Human–Robot Interaction Based on Motion and Force Control
Supervised Methods for Fault Detection in Vehicle
Using machine learning for control systems in transforming environments