Troupe Rover Demonstration
The Troupe Rover demonstration project is implementing an algorithm called "SafeMAP" or Safe Multi-Agent Planner. SafeMAP is used in distributed multi-rover or multi-uav system to…
Manager for Intelligent Knowledge Access (MIKA)
Manager for Intelligent Knowledge Access (MIKA) is a Python toolkit specialized for state-of-the-art knowledge discovery and information retrieval for technical documents.
AdaStress
AdaStress, a tool for finding and analyzing the likeliest failures in a simulated system under test.
MADI - Strategic Foresight and Knowledge Management infrastructure for ARMD/TACP/CAS
The CAS Discovery team is developing, testing and using digital infrastructure to meet the pace of expected deliverables in an automated, efficient, collaborative manner, includin…
Rover ML-based vision system
The rover uses deep neural networks perform perception, currently related to line following.
ImageLabeler
Web-based Collaborative Machine Learning Training Data Generation Tool
Oceanic cold pool detection using scatterometer winds
Use a U-Net convolutional neural network to detect oceanic cold pools in spaceborne scatterometer wind observations.
Similarity Search for Earth Science Image Archive
Self Supervised Based Learning approach to search image archives using a query image
PASSION Computer
To develop a pipeline for processing raw overlappagram (other word?) images through the various data products. To produce the final data product in a timely manner.
Instantaneous Clarity of Ambient eNvironment Capability (ICAN-C)
To determine the applicability of using AI/ML to correct obscured vision. Landing systems where sedement is blown around and/or dusty environments are the primary application.
Trajectory mission design
We use ML for a lot of different things. First, and most importantly, we use ML to estimate initial conditions for POST and Copernicus for mission design. We've also used ML for i…
TAPAS (Track Augmentation and Performance Analysis System)
TAPAS is a tool for automating the comparison of DSN telemetry data, designed to help DSN operators find potential anomalies faster and more efficiently.
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…
AI Digital Assistants (HRP) [was "Doc in a Box" for Earth Independent Medical Operations (EIMO)]
A software agent that can perform tasks or services for an individual based on commands or questions. These commands can be given through text, voice, or other interfaces. DAs lev…
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