Welcome to Aerospace-AI

This is an index to public and private code

Repository Description Status
Asteroid_CPO_Seeker Code to reproduce "Terminal Adaptive Guidance via Reinforcement Meta-Learning: Applications to Autonomous Asteroid Close-Proximity Operations" Public
RL-Meta-Learning-ACTA Code to reproduce "Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning" Public
AAS-18-290-6DOF Code to reproduce "Deep reinforcement learning for six degree-of-freedom planetary powered descent and landing" Public
AAS-18-290_3dof Code to reproduce 3-DOF Mars Powered Descent Phase using PPO Public
RL_ExoIntercept Code to reproduce "Angles only Intercept of Manuvering Targets using Reinforcement Meta-Learning" Public
RL_ExoIntercept 6-DOF Code to reproduce "Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop" Private
RL_ExoIntercept 6-DOF SFCOMP Code to reproduce "Adaptive Scale Factor Compensation for Missiles with Strapdown Seekers via Predictive Coding" Private
6-DOF Hovering with Altimetry Code to reproduce "Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning" Public
3-DOF Hypersonic Terminal Code to reproduce "Reinforcement Meta-Learning for Adaptive Terminal Guidance of Autonomous Hypersonic Strike Weapons" Private
3-DOF Hypersonic Approach Code to reproduce "Adaptive Approach Phase Guidance for a Hypersonic Glider via Reinforcement Meta Learning" Private
6-DOF Lunar Landing using Seeker Code to reproduce "Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker" Private
6-DOF Hypersonic Strike Weapon using GHV Geometry Code to reproduce "No Paper Yet" Private
6-DOF Integrated and Adaptive Guidance and Flight Control for Air-to-Air Missile Code to reproduce "Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning" Private

Terminal Adaptive Guidance via Reinforcement Meta-Learning: Applications to Autonomous Asteroid Close-Proximity Operations:

conops

Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning:

Hovering_image

Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop

exo_1

exo_2

Acknowledgements:

Code for attitude representations and transformations adapted from "Analytical Mechanics of Space Systems"