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learning
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keywords:(learning)
Adaptive human-robot policy blending for shared control teleoperation
Implicit cooperative decision-making for automated vehicles
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Self-supervised learning of primitive-based robotic manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Deep learning and big data for intelligent transportation : enabling technologies and future trends
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
Failure Prediction for Autonomous Systems
Environment modeling for automated driving using grid-based and object-based representations
Physics-informed regression of implicitly-constrained robot dynamics
Deep reinforcement learning-based energy management for hybrid electric vehicles