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Neural network full-body human predictive models and their use for coordinated robot motion planning
A methodology for photometric validation in vehicles visual interactive systems
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Physics-informed regression of implicitly-constrained robot dynamics
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Unconstrained licence plate and text localization and recognition
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Sampling-based exploration strategies for mobile robot autonomy
Kernel regression for travel time estimation via convex optimization
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
3D vehicle sensor based on monocular vision
UUV teams, control from a biological perspective
Hierarchical fault diagnosis and health monitoring in multi-platform space systems