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Center Independent Research & Development: GSFC IRAD

Supervised-machine Learning for Intelligent Collision Avoidance Decision-making and Sensor Tasking

Active Technology Project

Project Introduction

Building an autonomous architecture that uses directed self-learning neuro-fuzzy networks with the aim of developing an intelligent autonomous collision avoidance decision-making process; including ground and space based sensor tasking and data transfer for on-board autonomous maneuver decision.

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Anticipated Benefits

Primary U.S. Work Locations and Key Partners

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Project Duration

Technology Maturity (TRL)

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