Neural-Rendezvous Targets Interstellar Objects

This is a news story, published by Phys Org, that relates primarily to Hiroyasu Tsukamoto news.

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Interstellar Object Exploration

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Neural

Phys Org

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Science

Concept for interstellar object encounters developed, then simulated using a spacecraft swarm

Summary

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90% Informative

Hiroyasu Tsukamoto developed Neural-Rendezvous , a deep-learning-driven guidance and control framework to autonomously encounter interstellar objects.

Interstellar objects are among the last unexplored classes of solar system objects.

They pass through our solar system only once in their lifetime at speeds of tens of kilometers per second, making them elusive.

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Informative language

Neutral language

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semi-formal

Language

English

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not offensive