Enabling Autonomous Space Mission Operations with Artificial Intelligence
For over 50 years, NASA's crewed missions have been confined to the Earth-Moon system, where speed-of-light communications delays between crew and ground are practically nonexistent. This ground-centered mode of operations, with a large, ground-based support team, is not sustaina
Selection note: Curated because it frames onboard AI and autonomy as responses to deep-space latency and reduced ground support, a central long-duration operations constraint.
Evidence boundary: NTRS provides open full text, but this presentation was screened for curation rather than independently or domain reviewed; inclusion is contextual, not automatic claim evidence.
Stable record
ntrs-20170011131
Topic
ai-autonomy
Type
Presentation
Publisher
Ames Research Center
Authors
Frank, Jeremy
Year
2017
Editorial state
metadata curated editorial draft
Reviewer
GShips Project editorial synthesis
Official link checked
2026-07-25
Source-supplied abstract
For over 50 years, NASA's crewed missions have been confined to the Earth-Moon system, where speed-of-light communications delays between crew and ground are practically nonexistent. This ground-centered mode of operations, with a large, ground-based support team, is not sustainable for NASAs future human exploration missions to Mars. Future astronauts will need smarter tools employing Artificial Intelligence (AI) techniques make decisions without inefficient communication back and forth with ground-based mission control. In this talk we will describe several demonstrations of astronaut decision support tools using AI techniques as a foundation. These demonstrations show that astronauts tasks ranging from living and working to piloting can benefit from AI technology development.
Abstract text has not been adopted as a GShips conclusion.
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NTRS provides open full text, but this presentation 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.
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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.