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Spike: ai scheduling for hubble space telescope after 18 months of orbital operations
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Johnston, Mark D. |
| Copyright Year | 1992 |
| Description | This paper is a progress report on the Spike scheduling system, developed by the Space Telescope Science Institute for long-term scheduling of Hubble Space Telescope (HST) observations. Spike is an activity-based scheduler which exploits artificial intelligence (AI) techniques for constraint representation and for scheduling search. The system has been in operational use since shortly after HST launch in April 1990. Spike was adopted for several other satellite scheduling problems; of particular interest was the demonstration that the Spike framework is sufficiently flexible to handle both long-term and short-term scheduling, on timescales of years down to minutes or less. We describe the recent progress made in scheduling search techniques, the lessons learned from early HST operations, and the application of Spike to other problem domains. We also describe plans for the future evolution of the system. |
| File Size | 617441 |
| Page Count | 5 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19930009471 |
| Archival Resource Key | ark:/13960/t85j2fh8s |
| Language | English |
| Publisher Date | 1992-05-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Knowledge Bases Artificial Intelligence Spaceborne Astronomy Scheduling Object-oriented Programming Lisp Programming Language Domains Astronomical Observatories Hubble Space Telescope Mission Planning Applications Programs Computers Artificial Intelligence Expert Systems Search Profiles Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
