2 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Federated Multi-Agent Mapping for Planetary Exploration
Tiberiu-Ioan Szatmari, Abhishek Cauligi
Multi-agent robotic exploration stands to play an important role in space exploration as the next generation of robotic systems ventures to far-flung environments. A key challenge…
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…