AI Copilots: Revolutionary Designs for Safer Space Vehicles

Smriti Tandon (), Võ Như Hải () and Subhankar Das ()
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Smriti Tandon: Graphic Era Deemed to be University
Võ Như Hải: South Star Management Institute, Duy Tan University
Subhankar Das: South Star Management Institute, Duy Tan University

A chapter in Pioneering the New Space Economy through AI and Immersive Technologies, 2025, pp 69-87 from Springer

Abstract: Abstract In this chapter, the authors explore the disruptive influence of artificial intelligence (AI) copilots on space vehicle design and safety procedures. The implementation of AI in spacecraft operations marks a turning point in how the authors ensure the safety of space exploration. By analyzing recent events, from NASA’s Artemis I mission to SpaceX’s Crew Dragon operations in 2023, the chapter showcases how AI copilots improve real-time decision-making capacity, human error reduction, and proactive risk management capabilities. The research underscores a symbiosis between human operators and AI systems, where human judgment is enhanced—not eliminated—by artificial intelligence. The study’s findings the authors approached from theoretical, industrial, societal, and sustainability perspectives, describing how AI copilots are revolutionizing spacecraft design, manufacturing processes, and operational protocols. It also discusses the ethical implications, personnel training requirements, and how AI can be used to further sustainable exploration in space. AI copilots have achieved a 40% reduction in equipment failures in simulated Mars missions thanks to predictive maintenance capabilities and resource optimization. The results imply that AI copilots go beyond being a technological innovation and represent a fundamental requirement for future space exploration, especially for long-duration missions and complicated undertakings beyond the orbit of Earth.

Keywords: Artificial intelligence in space; Spacecraft safety systems; Human-AI collaboration; Space vehicle design; Predictive maintenance; Sustainable space exploration (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-5977-7_4

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