Space AI: Leveraging Artificial Intelligence for Space to Improve Life on Earth
Ziyang Wang

TL;DR
This paper introduces Space AI as an interdisciplinary field that applies artificial intelligence to space exploration and operations, aiming to enhance space missions and benefit life on Earth.
Contribution
It consolidates historical and current progress in Space AI and proposes a systematic framework categorizing AI applications across four space mission contexts.
Findings
Defines four mission contexts for Space AI
Highlights AI's role in autonomous space operations
Connects space AI advances to societal benefits
Abstract
Artificial Intelligence (AI) is transforming domains from healthcare and agriculture to finance and industry. As progress on Earth meets growing constraints, the next frontier is outer space, where AI can enable autonomous, resilient operations under extreme uncertainty and limited human oversight. This paper introduces Space AI as a unified interdisciplinary field at the intersection of artificial intelligence and space science and technology. We consolidate historical developments and contemporary progress, and propose a systematic framework that organises Space AI into four mission contexts: 1 AI on Earth, covering intelligent mission planning, spacecraft design optimisation, simulation, and ground-based data analytics; 2 AI in Orbit, focusing on satellite and station autonomy, space robotics, on-board/near-real-time data processing, communication optimisation, and orbital safety; 3…
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Taxonomy
TopicsSpace Science and Extraterrestrial Life · Space Satellite Systems and Control · Satellite Communication Systems
