Project:	Federated Autonomous MEasurement (JPL AO No. 16677)
Disciplines:	Computer Science, Data Science, Machine Learning, Search, Embedded systems
Mentor:	Steve Chien, (JPL), Steve.A.Chien@jpl.nasa.gov, Phone: (818) 393-5320
Mentor URL:	https://ai.jpl.nasa.gov/public/people/chien/  (opens in new window)
Background:	The Artificial intelligence group performs basic research to deployment in all areas of AI but particular emphasis on command and control systems (resource allocation, scheduling). ai.jpl.nasa.gov
Description:	FAME seeks to use distributed planning and scheduling algorithms to coordinate disparate spacecraft to produce novel science measurements. This also includes onboard analysis of observation data including machine learning algorithms but not limited solely to ML.
References:	https://ai.jpl.nasa.gov/public/projects/fame/ https://ai.jpl.nasa.gov/public/projects/dynamic-tasking/
Student Requirements:	introduction to artificial intelligence, artificial intelligence, data analysis, visualization, Rust, C++, python, web systems (web pages, web scraping scripts)
Location / Safety:	Project building and/or room locations: . Student will need special safety training: .
Programs:	This AO can be done under the following programs:   Program    Available To        SURF@JPL    both Caltech and non-Caltech students  Click on a program name for program info and application requirements.