scholarly journals Spacecraft mission operations - lessons learned from automation

Author(s):  
A.K. Kludze
2005 ◽  
Author(s):  
Jeng-Shing Chern ◽  
An-Ming Wu ◽  
Shin-Fa Lin

AI Magazine ◽  
2017 ◽  
Vol 37 (4) ◽  
pp. 46-54 ◽  
Author(s):  
Jeremy D. Frank ◽  
Kerry McGuire ◽  
Haifa R. Moses ◽  
Jerri Stephenson

As NASA explores destinations beyond the Moon, the distance between Earth and spacecraft will increase communication delays between astronauts and Mission Control. Today, astronauts coordinate with Mission Control to request assistance and await approval to perform tasks. Many of these coordination tasks require multiple exchanges of information, (for example, taking turns). In the presence of long communication delays, the length of time between turns may lead to inefficiency, or increased mission risk. Future astronauts will need software-based decision aids to enable them to work autonomously from Mission Control. These tools require the right combination of mission operations functions, for example, automated planning and fault management, troubleshooting recommendations, easy to access information, and just-in-time training. Ensuring these elements are properly designed and integrated requires an integrated human factors approach. This article describes a recent demonstration of autonomous mission operations using a novel software-based decision aid onboard the International Space Station. We describe how this new technology changes the way astronauts coordinate with mission control, and how the lessons learned from these early demonstrations will enable the operational autonomy needed to ensure astronauts can safely journey to Mars, and beyond.


Author(s):  
Oleg Sindiy ◽  
Matthew Abrahamson ◽  
Abhijit Biswas ◽  
Malcolm W. Wright ◽  
Jordan H. Padams ◽  
...  

2012 ◽  
Vol 46 (4) ◽  
pp. 7-19 ◽  
Author(s):  
Arthur C. Trembanis ◽  
Alex L. Forrest ◽  
Douglas C. Miller ◽  
Darlene S. S. Lim ◽  
Michael L. Gernhardt ◽  
...  

AbstractSince the beginning of space exploration, methods and protocols of exploration have been developed using space analogs on Earth to reduce research costs, develop safe deployment/retrieval protocols, and ready astronauts for hostile environments in less threatening settings. Space analogs are required as much as ever today as astronauts and scientists develop new tools and techniques for exploration, while working to address evolving mission objectives from low-earth orbit to deep-space exploration. This study examines coordinated human and robotic exploration at the Aquarius Underwater Habitat off of the coast of Key Largo, Florida, in support of the NEEMO 15 (NASA Extreme Environment Mission Operations) program. The exploration scheme presented in this work fuses (1) robotic precursor missions as a means of remote sensing data collection; (2) crowdsourcing to process immense amounts of data to identify key targets of interest that might be missed in the tight cycle of mission operations; and (3) human exploration to examine locations directly up close and collect physical samples that require involved sampling techniques. Autonomous underwater vehicles (AUVs) and single-person submersibles, called DeepWorkers™, were used as underwater analogs of robotic systems currently being used and human-operated vehicles (HOVs) proposed for use on a Near Earth Asteroid (NEA), the Moon, or Mars. In addition to operational lessons learned for space exploration that are directly applicable to ocean exploration, ocean floor mapping provides new levels of detail of benthic habitat critical for coral reef monitoring and management. Opportunistic (onsite adaptive) data sampling also took place by placing self-recording instrumentation onto each of the DeepWorkers, increasing the collection of scientific information during the submersible missions and contributing to mission planning for optimal and efficient use of expensive assets.


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