Search NASA⌕ Search

NASA NTRS · 19900006546

Artificial intelligence approaches to astronomical observation scheduling

Abstract

Automated scheduling will play an increasing role in future ground- and space-based observatory operations. Due to the complexity of the problem, artificial intelligence technology currently offers the greatest potential for the development of scheduling tools with sufficient power and flexibility to handle realistic scheduling situations. Summarized here are the main features of the observatory scheduling problem, how artificial intelligence (AI) techniques can be applied, and recent progress in AI scheduling for Hubble Space Telescope.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Johnston, Mark D., Miller, Glenn. 1988-08-01. Artificial intelligence approaches to astronomical observation scheduling. https://ntrs.nasa.gov/citations/19900006546

Cite the original work for its findings. Save a collection to share your selection of sources.