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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
Model learning for trajectory tracking of robot manipulators
Path Following using Frequency Modulated Continuous Wave millimetre-wave Automotive Radar
Supervised Methods for Fault Detection in Vehicle
Human–Robot Interaction Based on Motion and Force Control
Using machine learning for control systems in transforming environments
Autonomous Path Following Using Convolutional Networks
Environment modeling for automated driving using grid-based and object-based representations
Machine learning approaches for detection of robot errors in human brain signals
Machine Learning assisted gNodeB Data Link Layer Capacity Management
Artificial Intelligence for Non-Contact-Based Driver Health Monitoring
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles
Learning to Assess Grasp Stability from Vision, Touch and Proprioception
Machine Learning in DigitalTelerehabilitation : Telerehabilitation system based on kinect
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
Vehicle Distance Detection Using Monocular Vision and Machine Learning
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
End-to-End Road Lane Detection and Estimation using Deep Learning
Learning algorithms for robotics systems
Feature Based Learning for Point Cloud Labeling and Grasp Point Detection
A Reinforcement Learning Approach to Predictive Control Design: Autonomous Vehicle Applications
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework