Research Summaries

Back Application of AI for HEL Automatic Targeting, Aimpoint Selection, and Maintenance

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