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Science Autonomy in Robotic ExplorationHistorical mission operations have involved: (1) return of scientific data; (2) evaluation of these data by scientists; (3) recommendations for future mission activity by scientists; (4) commands for these transmitted to the craft; and (5) the activity being undertaken. This cycle is repeated throughout the mission with command opportunities once or twice per day. For a rover, this historical cycle is not amenable to rapid long range traverses or rapid response to any novel or unexpected situations. In addition to real-time response issues, imaging and/or spectroscopic devices can produce tremendous data volumes during a traverse. However, such data volumes can rapidly exceed on-board memory capabilities prior to the ability to transmit it to Earth. Additionally, the necessary communication band-widths are restrictive enough so that only a small portion of these data can actually be returned to Earth. Such scenarios suggest enabling some science decisions to be made on-board the robots. These decisions involve automating various aspects of scientific discovery instead of the electromechanical control, health, and navigation issues associated with robotic operations. The robot retains access to the full data fidelity obtained by its scientific sensors, and is in the best position to implement actions based upon these data. Such an approach would eventually enable the robot to alter observations and assure only the highest quality data is obtained for analysis. Additionally, the robot can begin to understand what is scientifically interesting and implement alternative observing sequences, because the observed data deviate from expectations based upon current theories/models of planetary processes. Such interesting data and/or conclusions can then be prioritized and selectively transmitted to Earth; reducing memory and communications demands. Results of Ames' current work in this area will be presented.
Document ID
20020046934
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Roush, Ted L.
(NASA Ames Research Center Moffett Field, CA United States)
DeVincenzi, Donald
Date Acquired
August 20, 2013
Publication Date
January 1, 2001
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: MEPAG Workshop
Location: Arcadia, CA
Country: United States
Start Date: August 15, 2001
End Date: August 16, 2001
Funding Number(s)
PROJECT: RTOP 632-67-01
Distribution Limits
Public
Copyright
Other

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