2 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
Julia Briden, Breanna Johnson, Richard Linares +1
Machine learning has demonstrated remarkable promise for solving the trajectory generation problem and in paving the way for online use of trajectory optimization for resource-cons…
Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
Julia Briden, Yilun Du, Enrico M. Zucchelli +1
This work introduces TrajDiffuser, a compositional diffusion-based flexible and concurrent trajectory generator for 6 degrees of freedom powered descent guidance. TrajDiffuser is a…
Constraint-Informed Learning for Warm Starting Trajectory Optimization
Julia Briden, Changrak Choi, Kyongsik Yun +2
Future spacecraft and surface robotic missions require increasingly capable autonomy stacks for exploring challenging and unstructured domains, and trajectory optimization will be…