Propellant-free control of distributed spacecraft that uses atmospheric drag as meaningful control authority for constellation geometry and reconfiguration.
Onboard aerobraking maneuver selection under uncertainty using deep reinforcement learning for adaptive mission execution.
Optimization of control authority and actuator layout for large-scale nonlinear systems with mission-level constraints.
Model predictive control for rendezvous with on/off thrusters in constrained elliptic-orbit scenarios.
Guidance methods that adapt atmospheric entry behavior under uncertainty and changing mission conditions.
Julia-based simulation for comparing mission dynamics, perturbations, autonomy behavior, and mission outcomes across challenging scenarios.