Satellite optimization management system based on natural language input and artificial intelligence

Abstract

Satellite optimization management systems based on natural language input and artificial intelligence methods are provided. Conventional satellite management systems require understanding how to control and program satellites. As the number of satellites are deployed, the need to control such satellites by natural language instruction increases. The systems and methods disclosed herein include a natural language processing module configured to receive and interpret user input expressed in natural language to determine a user's intent and map it to specific tasks. In order to correctly determine a user's intent, a neural network with artificial intelligence models may be used. Such user's intent may be used to generate and execute satellite command sequences based on operational tasks derived from the user's natural language inputs. Such natural language input and derived intents can be translated into command sequences to that are applicable across an entire constellation of a large number of satellites.

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