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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
Model learning for trajectory tracking of robot manipulators
Path Following using Frequency Modulated Continuous Wave millimetre-wave Automotive Radar
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
Deep recurrent neural networks for abstractive text summarization
Autonomous Path Following Using Convolutional Networks
Machine learning approaches for detection of robot errors in human brain signals
Environment modeling for automated driving using grid-based and object-based representations
Reservoir Computing Based Cryptography and Exploration of the Limits of Multifunctionality in NG-RC
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
Teaching mobile robots to use spatial words
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