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Maschinelles Lernen
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Real-time kinematical optimal trajectory planning for haptic feedback manipulators
Realeasy: Real-Time capable Simulation to Reality Domain Adaptation
Quantifying Teaching Behavior in Robot Learning from Demonstration
Proxy experience replay:federated distillation for distributed reinforcement learning
Providing and assessing intelligible explanations in autonomous driving
Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning
Predictive monitoring of critical cardiorespiratory alarms in neonates under intensive care
Predictive control for multi-market trade of aggregated demand response using a black box approach
Predicting the global structure of indoor environments: A constructive machine learning approach
Predicting physical activity levels from kinematic gait data using machine learning techniques
Predicting axial impairment in parkinson’s disease through a single inertial sensor
Powertrain Control for Hybrid-Electric Vehicles using Supervised Machine Learning