Deep Learning Applications in Manned Spaceflight
This 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 t...
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2019
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| Online Access: | http://hdl.handle.net/2060/20190003898 |
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ftnasantrs:oai:casi.ntrs.nasa.gov:20190003898 2023-05-15T16:01:10+02:00 Deep Learning Applications in Manned Spaceflight Noyes, Matthew Wang, Lui Hessburg, Lawrence Unclassified, Unlimited, Publicly available March 28, 2019 application/pdf http://hdl.handle.net/2060/20190003898 unknown Document ID: 20190003898 http://hdl.handle.net/2060/20190003898 Copyright, Public use permitted CASI Cybernetics Artificial Intelligence and Robotics JSC-E-DAA-TN67314 Lunch and Learn Round Table Event: Deep Learning Applications in Manned Spaceflight; Mar 28, 2019; Houston, TX; United States 2019 ftnasantrs 2019-08-03T22:46:46Z This 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. Other/Unknown Material DML NASA Technical Reports Server (NTRS) |
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Open Polar |
| collection |
NASA Technical Reports Server (NTRS) |
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ftnasantrs |
| language |
unknown |
| topic |
Cybernetics Artificial Intelligence and Robotics |
| spellingShingle |
Cybernetics Artificial Intelligence and Robotics Noyes, Matthew Wang, Lui Hessburg, Lawrence Deep Learning Applications in Manned Spaceflight |
| topic_facet |
Cybernetics Artificial Intelligence and Robotics |
| description |
This 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. |
| format |
Other/Unknown Material |
| author |
Noyes, Matthew Wang, Lui Hessburg, Lawrence |
| author_facet |
Noyes, Matthew Wang, Lui Hessburg, Lawrence |
| author_sort |
Noyes, Matthew |
| title |
Deep Learning Applications in Manned Spaceflight |
| title_short |
Deep Learning Applications in Manned Spaceflight |
| title_full |
Deep Learning Applications in Manned Spaceflight |
| title_fullStr |
Deep Learning Applications in Manned Spaceflight |
| title_full_unstemmed |
Deep Learning Applications in Manned Spaceflight |
| title_sort |
deep learning applications in manned spaceflight |
| publishDate |
2019 |
| url |
http://hdl.handle.net/2060/20190003898 |
| op_coverage |
Unclassified, Unlimited, Publicly available |
| genre |
DML |
| genre_facet |
DML |
| op_source |
CASI |
| op_relation |
Document ID: 20190003898 http://hdl.handle.net/2060/20190003898 |
| op_rights |
Copyright, Public use permitted |
| _version_ |
1766397144756912128 |