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Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
Robot learning of container-emptying skills through haptic demonstration
Quantitative methods for the characterization of separated and intermittent multiphase flow patterns
Artificial Intelligence Enhancements to Imagery for Space Operations
Rho-learning: a robotics oriented reinforcement learning algorithm
Arm-Intent-Detection with Bio-Signals in Virtual Reality
A Data-Driven Approach to Recognizing and Understanding Human Contributions to Aviation Safety
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
Control for robot-assisted neurorehabilitation based on human interactive behaviour