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
20260003968
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Steven Sepka (Ames Research Center Mountain View, United States)
Justine 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)