Science Operations for Onboard Autonomous Rover Science

Physics

Scientific paper

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5494 Instruments And Techniques, 6225 Mars, 6297 Instruments And Techniques, 6339 System Design, 6344 System Operation And Management

Scientific paper

Onboard autonomous science represents one means to balance the large amounts of scientific data that current and future rovers can acquire with the limited ability to download it to Earth. Several systems are under development to perform autonomous rover science. The use of such systems represents a departure from standard operations, which closely resemble batch tele-operation. It is important for the science operations team to understand the capabilities and limitations of the onboard system to effectively use the tool of autonomous onboard science to increase overall mission science return, however it is difficult for the science team to get a feel for the onboard system without hands on experience in an operational system setting. This past year, the OASIS (Onboard Autonomous Science Investigation System) team has been working with the SOOPS (Science Operations On Planetary Surfaces) task to investigate how science returns for surface missions can be improved through the use of science autonomy. A limited version of OASIS was tested at the system level. The test involved a high-fidelity software simulation of a rover exploring a remote terrain using realistic operational interfaces. By using the simulation environment it is feasible to run many more experiments than testing with physical rover. Further, the simulation environment combined with the integrated operational system provides situational awareness for the science operations team along with greater flexibility and control over experiments to help answer "what if" questions that can lead to identifying the most effective ways to use the onboard system. In the tests, OASIS applied predetermined criteria provided by the scientists to prioritize which data collected during a traverse to send home, given specified bandwidth constraints. In addition, rock summary information (which requires very little bandwidth) was returned and provided as both a table and a map to the science team. We discuss the results of these experiments.

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