Onboard Planner for Mars2020 Rover (Perseverance)
The M2020 onboard scheduler incrementally constructs a feasible schedule by iterating through activities in priority-first order.
SensorWeb: Volcano, Flood, Wildfire, and others.
The Sensor Web Project uses a network of sensors linked by software and the internet to an autonomous satellite observation response capability.
Mexec Onboard Planning and Execution
MEXEC is a lightweight, multi-mission software for activity scheduling and execution developed to increase the autonomy and efficiency of a robotic explorer. MEXEC was first creat…
Requirement Alignment (REQAL)
Use NLP and large language Model (LLM) such as GPT or BERT to encode experiences of the personnel into a knowledge graph. Then train a graph neural network (GNN) to automatically…
Robust, Explainable Autonomy for Scientific Icy Moon Operations (REASIMO)
This effort aims to improve the science yield and robustness of a wide range of NASA missions by increasing the level of flight-qualifiable autonomy that can be applied to such op…
Friction Stir Weld Control
The AI agent monitors the telemetry and supplements the human controlling the Self-Reacting Friction Stir Weld by sending updated trim commands to fine tune the weld parameters to…
Data Fracking (HRP)
Software systems and methods that leverage artificial intelligence methodologies to automate, enhance and streamline various processes related to documents. The core purpose of an…
AIML for Code Review and Workforce Augmentation (converted to collective)
AI Studio API to GIT type Repositories for Code Review, Debating Agent implementation, and automation.
OCFO External Performance Reporting
Gen AI uses performance data provided by MDs to write a draft summary performance report
Reinforcement Learning for Lunar Lander Real Time Optimal Trajectory
The proposal's objective is to apply RL for real-time optimal guidance and control in spacecraft systems, aiming to enhance efficiency, robustness, and autonomy.
OCFO Credit Risk and Defaul Estimation Tool
Machine learning based estimation tool for company default risk
OCFO President Budget Request RAG
A retrieval augmented generation tool that can answer questions based on president's budget requests
Borescope Artificial Intelligence (BAI)
The BAI will aid jet engine maintainers in identifying compressor and turbine blade defects
Coupled Loads Analysis Research Assistant (CLARA)
chat assistant to support loads analysts during computation.
Autoresolver/Tailored Arrival Manager
The Autoresolver system is a tool for autonomous air traffic management. It is designed to perform many of the tasks that air-traffic controllers have historically performed inclu…
NASA E-Nose for the detection of disease using breath analysis
Develop one or more AI models that can classify disease related biosignatures from the data produced by the Ames NASA E-Nose when exposed to exhaled human breath.
SERVIR Applied Deep Learning Book
The focus of the Applied Deep Learning Book is to provide practitioners with a wide variety of applied examples of Remote Sensing Deep Learning approaches. With each chapter focus…
Atomistic Force Field Accelerator (ARFFA)
Training of machine learning models of physically informed neural network interatomic force fields for molecular dynamics simulations of material systems of interest at the atomic…
Advanced Air Mobility Digital Assistant
A digital assistant using open source large language models designed to assist Systems Engineerins with navigating the complex web of requirements surrounding Urban Air Mobility.…
Large language models for food security outlooks
USAID Famine Early Warning Network (FEWSNET) produces food security outlooks and bulletins that can complement the perspective of Earth observations. We are exploring how large la…
Foundation model for Weather and Climate
Custom network design that uses MERRA data to learn the atmospheric processes. The Foundation Model can then be adapted to for many different applications including downscaling an…
Foundation Model for Helio Physics
AI Foundation for Heliophysics to enable the research community build AI application on the SDO data sets
Design Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate Models
A sample is made of a design space using Latin hypercube sampling. The geometry for these samples is then generated and evaluated using simulation tools. The result is then used t…
Spaceport Throughput Analysis Resource
The Spaceport Throughput Analysis Resource (STAR) assesses whether a set proposed launches and associated activities can be performed given the resources KSC currently has availab…