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Applying Machine Learning Tools for Runway Configuration Decision Support
Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid
Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid
Fast Tunnel Traversal for Ground Vehicles by Bearing Estimation with Neural Networks
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Reinforcement-Learning-Based Robust Guidance for Asteroid Approaching
Reinforcement learning-based autonomous generation technology for product oil tanker loading schemes
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
On-Orbit Proximity Operations About Controlled Uncooperative Targets Using Meta-Predictor
Learn more about NASA Langley’s Crew Systems Capabilities!
On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Autonomous Small Body Science Operations Using Reinforcement Learning
Attitude Control of Flexible Multibody Spacecraft via Shape Change
Small-Data-Driven Multitask Computational Guidance for Constrained Impact
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics
Online Corrections to Neural Policy Guidance for Pinpoint Powered Descent
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Introduction to the Virtual Collection on Machine Learning in Aerospace
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Review of intelligent detection and statistical methods of wild animals in UAV aerial photography
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games