7 papers
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…
Learning Decentralized Routing Policies via Graph Attention-based Multi-Agent Reinforcement Learning in Lunar Delay-Tolerant Networks
Federico Lozano-Cuadra, Beatriz Soret, Marc Sanchez Net +2
We present a fully decentralized routing framework for multi-robot exploration missions operating under the constraints of a Lunar Delay-Tolerant Network (LDTN). In this setting, a…
Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance
Julia Briden, Trey Gurga, Breanna Johnson +2
This work introduces Transformer-based Successive Convexification (T-SCvx), an extension of Transformer-based Powered Descent Guidance (T-PDG), generalizable for efficient six-degr…
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…
Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization
Kazuya Echigo, Abhishek Cauligi, Saptarshi Bandyopadhyay +4
This paper presents the development and evaluation of an optimization-based autonomous trajectory planning algorithm for the asteroid reconnaissance phase of a deep-space explorati…
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…