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Deep Learning Applications in Manned SpaceflightThis presentation discusses a basic overview of Deep Machine Learning (DML) fundamentals, and two JSC applications of DML to create an Intelligent Personal Coach for exercise applications on deep-space missions, and the training of a neural network using the SingleShotPose algorithm from Microsoft to detect object 6 degree of freedom pose information from 2D image data for use in an Intelligent Procedure Assistant. The presentation concludes with a discussion about conceptual future uses of DML for space missions.
Document ID
20190003898
Acquisition Source
Johnson Space Center
Document Type
Presentation
Authors
Noyes, Matthew
(NASA Johnson Space Center Houston, TX, United States)
Hessburg, Lawrence
(NASA Johnson Space Center Houston, TX, United States)
Wang, Lui
(NASA Johnson Space Center Houston, TX, United States)
Date Acquired
May 1, 2019
Publication Date
March 28, 2019
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
JSC-E-DAA-TN67314
Meeting Information
Meeting: Lunch and Learn Round Table Event: Deep Learning Applications in Manned Spaceflight
Location: Houston, TX
Country: United States
Start Date: March 28, 2019
Sponsors: The Society of High Performance Computing (HPC) Professionals
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
augmented reality
rendering
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