4 papers
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Yashdeep Chaudhary, Roberto Armellin, Harry Holt +1
This paper presents a distribution-agnostic robust trajectory-optimization framework based on chance-constrained reinforcement learning. The uncertainty is represented here through…
Using the Translation Theorem for the Automated Stationkeeping of Extremely-Low Lunar Missions
Jack Yarndley, Martin Lara, Harry Holt +1
Extremely-Low Lunar Orbits (eLLOs) (altitudes km) exhibit severe perturbations due to the highly non-spherical lunar gravitational field, presenting unique challenges to…
Multi-Target Spacecraft Mission Design using Convex Optimization and Binary Integer Programming
Jack Yarndley, Harry Holt, Roberto Armellin
The optimal design of multi-target rendezvous and flyby missions is challenging due to the combination of traditional spacecraft trajectory optimization and high-dimensional combin…
Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations
Kun Wang, Roberto Armellin, Adam Evans +2
Machine learning techniques have demonstrated their effectiveness in achieving autonomy and optimality for nonlinear and high-dimensional dynamical systems. However, traditional bl…