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Crew Autonomy through Self-Scheduling: Guidelines for Crew Scheduling Performance Envelope and Mitigation StrategiesFuture long duration exploration missions (LDEMs) bring new challenges to astronaut crews in deep space, one of which is increased communication latencies with ground stations. As a result, crews will have to behave more autonomously by self-scheduling their own operational timelines in an efficient and effective manner. To support crew autonomy, our team has spent the last few years developing Playbook, a mission planning and scheduling tool. Our research focuses on investigating scheduling performance using Playbook to inform the deployment of novel aids that streamline the timeline creation process and proposing relevant standards and guidelines for autonomous crews in LDEMs. Summarizing yearly progress of research analysis and experiment in HERA.
Document ID
20230000783
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
J.J. Marquez
(Ames Research Center Mountain View, California, United States)
J. Karasinski
(Ames Research Center Mountain View, California, United States)
J. Zheng
(San Jose State University San Jose, California, United States)
J. Bresina
(Ames Research Center Mountain View, California, United States)
S. Shelat
(San Jose State University San Jose, California, United States)
Date Acquired
January 17, 2023
Subject Category
Man/System Technology and Life Support
Meeting Information
Meeting: Human Research Program Investigators' Workshop 2023
Location: Galveston, TX
Country: US
Start Date: February 7, 2023
End Date: February 9, 2023
Sponsors: National Aeronautics and Space Administration
Funding Number(s)
WBS: 344494.02.01.16.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
user experience
usability
self-scheduling
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