Computer Science – Artificial Intelligence
Scientific paper
Oct 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994aira.symp..339m&link_type=abstract
In JPL, Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space 1994 p 339-343 (SEE N95-236
Computer Science
Artificial Intelligence
Artificial Intelligence, Astronomical Observatories, Astronomy, Hubble Space Telescope, Planning, Scheduling, Atmospheric Effects, Earth Atmosphere, Software Engineering, Spectral Resolution
Scientific paper
NASA's Hubble Space Telescope (HST) is a major astronomical facility that was launched in April, 1990. In late 1993, the first of several planned servicing missions refurbished the telescope, including corrections for a manufacturing flaw in the primary mirror. Orbiting above the distorting effects of the Earth's atmosphere, the HST provides an unrivaled combination of sensitivity, spectral coverage and angular resolution. The HST is arguably the most complex scientific observatory ever constructed and effective use of this valuable resource required novel approaches to astronomical observation and the development of advanced software systems including techniques to represent scheduling preferences and constraints, a constraint satisfaction problem (CSP) based scheduler and a rule based planning system. This paper presents a discussion of these systems and the lessons learned from operational experience.
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