AI Use Cases

Use case	Agency	Stage	High-impact	Topic area	AI classification	Sourcing
AEGIS: Autonomous Exploration for Gathering Increased Science NASA-214 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
CLASP Coverage Planning & Scheduling NASA-221 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Enhanced AutoNav for Perseverance Rover on Mars NASA-225 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
MLNav (Machine Learning Navigation) NASA-234 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Presumed high-impact, determined not	Science	Classical / predictive ML	Developed in-house
Perseverance Rover on Mars - Terrain Relative Navigation NASA-237 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
SensorWeb: Volcano, Flood, Wildfire, and others. NASA-451 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Global, Seasonal Mars Frost Maps NASA-708 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Purchase Card Management System (PCMS) NASA-715 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Administrative Functions	Classical / predictive ML	Developed in-house
New Technology and Software Reporting (NTR) NASA-716 · JPL: Jet Propulsion Laboratory	NASA	Deployed	Not high-impact	Administrative Functions	Classical / predictive ML	Developed in-house
Near-real-time aerosol retrievals from OMPS Limb Profiler measurements NASA-848 · GSFC: Goddard Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Retrieving stratospheric water vapor from OMPS Limb Profiler measurements NASA-849 · GSFC: Goddard Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Application of ML to Detection of Anomalies in Spacecraft Health and Status Data NASA-854 · GSFC: Goddard Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Dirty Vacuum rated 6-Axis Robotic Arm Toolpathing NASA-928 · MSFC: Marshall Space Flight Center	NASA	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Design Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate Models NASA-526 · GRC: Glenn Research Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Implement machine learning in NMIS to assist with mishap coding NASA-545 · OSMA: Office of the Chief Safety & Mission Assurance	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Adaptive Problem Solving / Hyperparameter Optimization NASA-809 · JPL: Jet Propulsion Laboratory	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Time Series Forecasting, Evaluation and Deployment (Time-FED) NASA-814 · JPL: Jet Propulsion Laboratory	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
AI Risk-aware task and motion planning for snake-like robots in icy enviroments NASA-815 · JPL: Jet Propulsion Laboratory	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Retrieving stratospheric NO2 profiles from OMPS Limb Profiler measurements NASA-850 · GSFC: Goddard Space Flight Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Quantification of Uncertainty Analysis Toolkit (QUAnT) NASA-861 · GSFC: Goddard Space Flight Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model NASA-13 · ARC: Ames Research Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Machine learning for prediction and factor analysis of laser forming parameters NASA-932 · MSFC: Marshall Space Flight Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
RDUST Regolith Dust Universal System Tracker NASA-935 · MSFC: Marshall Space Flight Center	NASA	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house