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Progress of Crew Autonomous Scheduling Test (CAST) On the ISSThe United States space policy is evolving toward missions beyond low Earth orbit. In an effort to meet that policy, NASA has recognized Autonomous Mission Operations (AMO) as a valuable capability. Identified within AMO capabilities is the potential for autonomous planning and replanning during human spaceflight operations. That is allowing crew members to collectively or individually participate in the development of their own schedules. Currently, dedicated mission operations planners collaborate with international partners to create daily plans for astronauts aboard the International Space Station (ISS), taking into account mission requirements, ground rules, and various vehicle and payload constraints. In future deep space operations the crew will require more independence from ground support due to communication transmission delays. Furthermore, crew members who are provided with the capability to schedule their own activities are able to leverage direct experience operating in the space environment, and possibly maximize their efficiency. CAST (Crew Autonomous Scheduling Test) is an ISS investigation designed to analyze three important hypotheses about crew autonomous scheduling. First, given appropriate inputs, the crew is able to create and execute a plan in a reasonable period of time without impacts to mission success. Second, the proximity of the planner, in this case the crew, to the planned operations increases their operational efficiency. Third, crew members are more satisfied when given a role in plan development. This presentation shows the progress done in this study with a single astronaut test subject participating in five CAST sessions. CAST is a technology demonstration payload sponsored by the ISS Research Science and Technology Office, and performed by experts in Mission Operations Planning from the Flight Operations Directorate at NASA Johnson Space Center, and researchers across multiple NASA centers.
Document ID
20170005534
Acquisition Source
Johnson Space Center
Document Type
Abstract
Authors
Healy, Matthew
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Marquez, Jessica
(NASA Ames Research Center Moffett Field, CA, United States)
Hillenius, Steven
(NASA Ames Research Center Moffett Field, CA, United States)
Korth, David
(NASA Johnson Space Center Houston, TX, United States)
Bakalyar, Lauren Rush
(NASA Johnson Space Center Houston, TX, United States)
Woodbury, Neil
(NASA Johnson Space Center Houston, TX, United States)
Larsen, Crystal M.
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Bates, Shelby
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Kockler, Mikayla
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Rhodes, Brooke
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Moore, William E. III
(Leidos, Inc. Houston, TX, United States)
Deliz, Ivonne
(ASRC Aerospace Corp. Moffett Field, CA, United States)
Kanefsky, Bob
(San Jose State Univ. Research Foundation San Jose, CA, United States)
Zheng, Jimin
(San Jose State Univ. Research Foundation San Jose, CA, United States)
Henninger, Ashley
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Edhlund, Isabelle
(Stinger Ghaffarian Technologies, Inc. Houston, TX, United States)
Silva-Martinez, Jackelynne
(NASA Johnson Space Center Houston, TX, United States)
Date Acquired
June 13, 2017
Publication Date
May 5, 2017
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
JSC-CN-39290-1
Meeting Information
Meeting: 2017 Annual Technical Symposium: AIAA Houston-Human Systems Integration ERG Technical Symposium
Location: Houston, TX
Country: United States
Start Date: May 5, 2017
Sponsors: NASA Johnson Space Center, American Inst. of Aeronautics and Astronautics
Distribution Limits
Public
Copyright
Public Use Permitted.
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