This presentation examines how problem solving was done on the NEEMO 22 Mission and whether human autonomy teaming would be able to assist in the type of troubleshooting that was conducted by Mission Control

Hillenius, Steven

Reagan, Marc

NASA Technical Reports Server

Adaptive Problem Solving 
and Mitigation
Steve Hillenius, NASA Ames Research Center 
Marc Reagan, NASA Johnson Space Center
https://ntrs.nasa.gov/search.jsp?R=20180007077 2019-08-31T18:09:46+00:00Z
NEEMO Overview
aquarius habitat
NEEMO Overview
LSB (life support buoy)
NEEMO Overview
aquarius interior
NEEMO Overview
MCC interior
Methods of Communication/ Information Transmission
Voice Comm
VCOM
Voxer
Playbook Mission Log
Playbook Timeline
ML Videos and Photos 
Video (one-way, no audio)
Daily Plan Review
Daily Planning Conf.
Procedures
Crew Notes
Methods of Communication/ Information Transmission
Types of unexpected problem solving seen 
on the NEEMO 22 Mission
Case Study 1 - Payload Complex Experiment (RAPSAP)
Case Study 2 - Payload Hardware Troubleshooting (miniDNA)
Case Study 3 - Weather Related EVA Replan
Types of unexpected troubleshooting
Complex Payload Setup/Teardown
Payload Hardware Technical Issues
Weather Related EVA Replan
Mitigation Techniques
Case Study 1 - Payload Complex Experiment (RAPSAP)Mitigation Techniques
Case Study 1 - Payload Complex Experiment (RAPSAP)
Case Study 1 - Payload Complex Experiment (RAPSAP)Mitigation Techniques
Case Study 2 - Payload Hardware Troubleshooting (miniDNA)
Case Study 1 - Payload Complex Experiment (RAPSAP)Mitigation Techniques
Case Study 3 - Weather Related EVA Replan
How this can relate back to guidelines for automation
What Machine Learning Can Do 
(Brynjolfsson and Mitchell)
Suitability of Machine Learning (SML Scores)
Case Study 1 - Payload Complex Experiment (RAPSAP)
Case Study 2 - Payload Hardware Troubleshooting (miniDNA)
Case Study 3 - Weather Related EVA Replan
On a scale from 1.0 to 5.0, where 1.0 is least suitable and 5.0 is most suitable for 
machine learning (Brynjolfsson and Mitchell)
2.62
3.52
1.86
How this can relate back to guidelines for automation
Automation would have been able to assist in some of 
the troubleshooting seen on the mission
Human autonomy teaming needed for other tasks
Large open ended solutions such as the EVA replan are 
difficult to automate with an optimal solution for a mission 
Adaptive Problem Solving 
and Mitigation
Steve Hillenius, NASA Ames Research Center 
Marc Reagan, NASA Johnson Space Center


Adaptive Problem Solving and Mitigation

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