Computer Science – Artificial Intelligence
Scientific paper
Mar 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992stin...9226886d&link_type=abstract
Presented at the International Symposium on Artificial Intelligence, Robotics, and Automation in Space (i-SAIRAS), Toulouse, Fra
Computer Science
Artificial Intelligence
Artificial Intelligence, Hubble Space Telescope, Management Planning, Problem Solving, Scheduling, Automatic Control, Lunar Based Equipment, Lunar Observatories
Scientific paper
The field of astronomy has recently benefited from the availability of space telescopes. The Hubble Space Telescope (HST), for instance, despite its problems, provides a unique and valuable view of the universe. However, unlike HST, a telescope need not be in low Earth orbit to escape our thickening atmosphere: it is currently technologically feasible to put a telescope on the moon, and there are excellent reasons for doing this. Either in low Earth orbit or on the moon, a space telescope represents an expensive and sought-after resource. Thus, the planning, scheduling, and control of these telescopes is an important problem that must be seriously studied.
Bresina John
Drummond Mark
Levinson Rich
Philips Andrew
Swanson Keith
No associations
LandOfFree
Applying artificial intelligence to the control of space telescopes (extended abstract) does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Applying artificial intelligence to the control of space telescopes (extended abstract), we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Applying artificial intelligence to the control of space telescopes (extended abstract) will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1491829