Trajectory Synthesis for the Coordinated Inspection of a Spacecraft with Safety Guarantees
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards
Optimization of Directional Sensor Orientation with Application to Sun Sensing
Robust Space Trajectory Design Using Belief Optimal Control
Bayesian Reliability Analysis of the Enhanced Multimission Radioisotope Thermoelectric Generator
Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning
Composition of Safety Constraints for Fixed-Wing Collision Avoidance Amidst Limited Communications
Optimal Feedback Guidance of a Small Aerial Vehicle in a Stochastic Wind
Generation of Spacecraft Operations Procedures Using Deep Reinforcement Learning
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem
Reachability Analysis for Neural Network Aircraft Collision Avoidance Systems
Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation
Developing Mathematical Formulations for the Integrated Problem of Sensors, Weapons, and Targets
Distributed Wildfire Surveillance with Autonomous Aircraft Using Deep Reinforcement Learning
Markov Decision Process Framework for Flight Safety Assessment and Management
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Dynamic Resource Allocation for Efficient Sharing of Services from Heterogeneous Autonomous Vehicles