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Welcome to Aerospace-AI

Public code will no longer be available on this repository, it can only be shared within the University of Arizona’s Space System Engineering Laboratory

Repository | Description | Status ———— | ————- | ————- Asteroid_CPO_Seeker | Code to reproduce “Terminal Adaptive Guidance via Reinforcement Meta-Learning: Applications to Autonomous Asteroid Close-Proximity Operations” | Private RL-Meta-Learning-ACTA | Code to reproduce “Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning” | Private AAS-18-290-6DOF | Code to reproduce “Deep reinforcement learning for six degree-of-freedom planetary powered descent and landing” | Private AAS-18-290_3dof | Code to reproduce 3-DOF Mars Powered Descent Phase using PPO | Private RL_ExoIntercept | Code to reproduce “Angles only Intercept of Manuvering Targets using Reinforcement Meta-Learning” | Private 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” | Private 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 and LOS shaping | Code to reproduce “Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning” and “Line of Sight Curvature for Missile Guidance using Reinforcement learning”} | Private 6-DOF Integrated and Adaptive Guidance and Flight Control for Hypersonic Point Defense Interceptor | Code to reproduce “No Paper Yet” | 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”

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