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Date
2025
2024
2023
2022
2021
Risk-Sensitive Reinforcement Learning for Designing Robust Low-Thrust Interplanetary Trajectories
(2025 Breakwell Paper Award)
Deep reinforcement learning with adherence to prescribed risk profiles
Aarun Srinivas
,
John Martin
PDF
Project
Video
MW-NeRF: Multi-Wavelength Nerf Models For Spacecraft Modeling In Shadowed Environments
Multi-spectral wavelengths help NeRFs see in the dark
Logan Selph
,
John Martin
PDF
Project
Video
Characterization Of Neural Ordinary Differential Equations For Astrodynamics Applications
How can we discover dynamics directly from data?
Sarah Wielgosz
,
John Martin
PDF
Project
Video
Reinforcement Learning for Spacecraft Navigation & Environment Characterization in the Planar-Restricted Two-Body Problem
Spacecraft tasking and actuation with DRL
Kenny Getzandanner
,
John Martin
PDF
Project
Video
Investigating the Fusion of Mascon and Neural Networks Gravity Models
Fusing mascon and PINN gravity models
John Martin
PDF
Project
Physics-Informed Neural Networks Gravity Model: Generation III
PINN Gravity Model Generation III
John Martin
,
Hanspeter Schaub
PDF
Code
Project
Video
DOI
Periodic orbit discovery enhanced by physics-informed neural networks
How to discover periodic orbits in arbitrary coordinate descriptions.
John Martin
,
Hanspeter Schaub
PDF
Project
Video
Physics-Informed Neural Networks for Gravity Field Modeling
John Martin Dissertation
John Martin
PDF
Physics-informed neural networks for gravity field modeling of small bodies
PINN Gravity Model Generation II
John Martin
,
Hanspeter Schaub
PDF
Code
Project
Reinforcement Learning and Orbit-Discovery Enhanced by Small-Body Physics-Informed Neural Network Gravity Models
Reinforcement learning for small-body navigation
John Martin
,
Hanspeter Schaub
PDF
Code
Physics-informed neural networks for gravity field modeling of the Earth and Moon
PINN Gravity Model Generation I
John Martin
,
Hanspeter Schaub
PDF
Code
Project
Video
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