Artificial intelligence in a mission operations and satellite test environment
A Generic Mission Operations System using Expert System technology to demonstrate the potential of Artificial Intelligence (AI) automated monitor and control functions in a Mission Operations and Satellite Test environment will be developed at the National Aeronautics and Space A
Selection note: Curated because it documents an expert-system monitor-and-control prototype in a NASA mission-operations and satellite-test environment.
Evidence boundary: NTRS provides open full text, but this conference paper was screened for curation rather than independently or domain reviewed; inclusion is contextual, not automatic claim evidence.
Stable record
ntrs-19880020950
Topic
ai-autonomy
Type
Conference Paper
Publisher
Legacy CDMS
Authors
Busse, Carl
Year
1988
Editorial state
metadata curated editorial draft
Reviewer
GShips Project editorial synthesis
Official link checked
2026-07-25
Source-supplied abstract
A Generic Mission Operations System using Expert System technology to demonstrate the potential of Artificial Intelligence (AI) automated monitor and control functions in a Mission Operations and Satellite Test environment will be developed at the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL). Expert system techniques in a real time operation environment are being studied and applied to science and engineering data processing. Advanced decommutation schemes and intelligent display technology will be examined to develop imaginative improvements in rapid interpretation and distribution of information. The Generic Payload Operations Control Center (GPOCC) will demonstrate improved data handling accuracy, flexibility, and responsiveness in a complex mission environment. The ultimate goal is to automate repetitious mission operations, instrument, and satellite test functions by the applications of expert system technology and artificial intelligence resources and to enhance the level of man-machine sophistication.
Abstract text has not been adopted as a GShips conclusion.
What would change this record?
A newer or corrected version, a retraction, a verified duplicate, a material topic mismatch, a changed access state, or claim-level review would trigger a dated editorial update.
NTRS provides open full text, but this conference paper was screened for curation rather than independently or domain reviewed; inclusion is contextual, not automatic claim evidence.
Source-supplied titles, abstracts, authors, and dates may require correction against the canonical full text.
What would change this page?
A newer or corrected version, retraction, verified duplicate, material topic mismatch, changed access state, or claim-level assessment would change this record.
People, review, and conflicts
Prepared by
GShips Project
Editorial status
metadata-curated-editorial-draft
Editorial reviewer
GShips Project editorial synthesis
Last editorial review
No editorial-review date recorded
Independent review
pending
Independent reviewer
No independent reviewer assigned
Last independent review
No independent-review date exists
Last content edit
Not recorded separately
Official source or link verified
2026-07-25
Declared conflicts
The maintainer intends to explore a commercial venture based on some GShips work. No entity, outside funding, customer, sponsor, or indexed-organization relationship currently exists.