Machine Learning for Slow but Steady Interplanetary Construction
Machine Learning for Slow but Steady Interplanetary Construction
- Neue Suche nach: A. Agogino
- Neue Suche nach: A. Agogino
For prolonged manned missions to destinations such as the moon and Mars, there is a need for significant infrastructure construction ahead of time, such as habitats and landing pads. Unfortunately we have little experience in remote construction and using conventional methods is likely to be expensive, cumbersome and unreliable. Fortunately these challenges may be overcome by taking advantage of the long lead time for such missions and using teams of small and slow construction robots. We propose using teams of simple autonomous robots for this purpose that would perform continuous construction over a period of many years or even decades. While individual robot reliability will be low over such long time frames, system reliability will be maintained by using machine learning over simulations to achieve coordination and reconfigurations in the event of lost robots.
Dokumentinformationen
Machine Learning for Slow but Steady Interplanetary Construction
2017
18 pages
Report
Keine Angabe
Englisch
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