NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login
Back to Results
Machine Learning for EMU Glove Inspections: Overview, Testing and ResultsDeveloped a data pipeline utilizing a commercial Machine Learning platform to potentially improve the speed in which recommendations are made for continued use of EMU gloves on ISS; demonstrating the use of ISS as a testbed for further, deep space applications.
Document ID
20220016556
Acquisition Source
Johnson Space Center
Document Type
Presentation
Authors
Jordan Lindsey (The Aerospace Corporation El Segundo, California, United States)
John Swatkowski (The Aerospace Corporation El Segundo, California, United States)
Date Acquired
November 2, 2022
Publication Date
November 17, 2022
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: NASA Data Science Summit
Location: Hampton, VA
Country: US
Start Date: November 15, 2022
End Date: November 17, 2022
Sponsors: National Aeronautics and Space Administration
Funding Number(s)
CONTRACT_GRANT: 80GSFC19D0011
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
EMU
Gloves
Machine learning
Azure
AWS
GO
NOGO
RTV damage
Hole
Tear
Wear

Related Records

There are no records associated with this record.
No Preview Available