4 papers
From Orbit Matching to Docking: A Hierarchical Reinforcement-Learning Approach to Multiphase Rendezvous Trajectory Design
Mariko Storey-Matsutani, Anatoly Zlotnik, Lee Holguin +2
As the complexity of space missions increases, autonomous spacecraft guidance must accommodate transitions between mission phases with distinct dynamics, objectives, and constraint…
Spacecraft Rendezvous Trajectory Generation with Modular Constraints via Diffusion Model Composition
Mariko A. Storey-Matsutani, Richard Linares
Emerging mission classes such as on-orbit servicing, satellite inspection, and active debris removal require trajectory design methods that are adaptable to a variety of mission sc…
GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
Alejandro Carrasco, Mariko Storey-Matsutani, Victor Rodriguez-Fernandez +1
Large language models (LLMs) have been proposed as supervisory agents for spacecraft operations, but existing approaches rely on static prompting and do not improve across repeated…
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Zhiting Mei, Anushri Dixit, Meghan Booker +5
Rapid advances in perception have enabled large pre-trained models to be used out of the box for transforming high-dimensional, noisy, and partial observations of the world into ri…