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Design of an AI Trash Sorting Machine for Use on the Moon and MarsAs NASA prepares for Mars colonization, resource conservation will be critical for survival. Artificial Intelligence (AI) powered waste sorting technologies, already emerging on Earth, offer promising solutions for recycling and material recovery. These systems use advanced sensors and machine learning algorithms to identify and separate materials with remarkable accuracy. On Mars, where every item has significant value, efficient recycling will be essential to reduce resupply needs and support closed-loop life support systems. This paper explores how terrestrial AI-based trash sorting technologies can be adapted for Martian conditions, focusing on challenges such as the harsh surface environment, minimizing system mass, power, volume, and estimating waste composition. Addressing these issues will be key to enabling sustainable operations on the Red Planet.
Document ID
20260005976
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Steven Sepka
(Ames Research Center Mountain View, United States)
Justine Tray-My Richardson
(Ames Research Center Mountain View, United States)
Lance Delzeit
(Ames Research Center Mountain View, United States)
Ray Pitts
(Kennedy Space Center Merritt Island, United States)
Jennifer Jones
(Marshall Space Flight Center Redstone Arsenal, United States)
Greg S Pace
(Amentum (United States) Chantilly, France)
Janine Young
(Amentum (United States) Chantilly, France)
Serena Trieu
(Amentum (United States) Chantilly, France)
Date Acquired
July 5, 2026
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Man/System Technology and Life Support
Meeting Information
Meeting: 55th International Conference on Environmental Systems
Location: Rio Grande
Country: PR
Start Date: July 12, 2026
End Date: July 16, 2026
Sponsors: Sierra Space, Paragon Space Development Corporation (United States)
Funding Number(s)
WBS: 251546.05.03.02
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
AI
Trash
Sorting
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