Fiscal Year	2019
Division	Graduate School of Engineering & Applied Science
Department	Mechanical & Aerospace Engineering
Investigator(s)	Agrawal, Jr., Brij N.
Sponsor	High Energy Laser-Joint Technology Office (Joint)
Summary	The scope of this project is to evaluate and apply state-of-the-art Artificial Intelligence (AI) techniques for automatic targeting, aimpoint selection, tracking, and adjustment for atmospheric conditions, and demonstrate improvement of HEL beam control performance using AI techniques in comparison to currently used techniques using the HEL Beam Control Research Testbed (HBCRT)
Keywords	Artificial Intelligence Beam Control Deep Learning target tracking
Publications	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal