Autonomous Maneuver Planning for Small-Body Reconnaissance via Reinforcement Learning
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Trajectory Synthesis for the Coordinated Inspection of a Spacecraft with Safety Guarantees
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards
Bayesian Reliability Analysis of the Enhanced Multimission Radioisotope Thermoelectric Generator
Strategic Deconfliction of Unmanned Aircraft Based on Hexagonal Tessellation and Integer Programming
Robust Space Trajectory Design Using Belief Optimal Control
Composition of Safety Constraints for Fixed-Wing Collision Avoidance Amidst Limited Communications
Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor
Generation of Spacecraft Operations Procedures Using Deep Reinforcement Learning
Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem
Reachability Analysis for Neural Network Aircraft Collision Avoidance Systems
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Defender-Aware Attacking Guidance Policy for the Target–Attacker–Defender Differential Game
Deep Learning Techniques for Autonomous Spacecraft Guidance During Proximity Operations
Bridging Reinforcement Learning and Online Learning for Spacecraft Attitude Control
Multi-Objective Cooperated Path Planning of Multiple Unmanned Aerial Vehicles Based on Revisit Time
Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning