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  • 1
    Publication Date: 2019-08-14
    Description: Although Mars rover missions have been highly successful in accomplishing scientific objectives, mission productivity is limited by challenges stemming from the need for commanding ground-based targeted observations under communication constraints imposed by the large distance between Earth and Mars. With an aging fleet of sun-synchronous relay orbiters, the opportunities for regular communication with rovers may become even more limited. In addition to on-board planning, robust navigation, and health assessment, there are strategies to make future rovers more self-reliant by enabling them to perform autonomous scientific characterizations of new areas during periods without an opportunity for ground-based targeted observations. In particular, we have studied how a walkabout strategy, in which an initial high-level characterization of a region is used to informed subsequent passes with specific targeted observations, was used successfully during the investigation of Pahrump Hills by the Mars Science Laboratory. Inspired by this approach, we have identified several capabilities that could allow a rover to autonomously perform some of these initial high-level characterization steps. In this paper, we describe technologies for identifying specific geologic units, regions, or features of interest, identifying areas of contact between two adjacent units, detecting and determining the orientation of layering within rock units, identifying novel and interesting features, and planning observations of regions with different sampling strategies using remote sensing instruments. The observations acquired with these approaches are driven by scientists guidance and can provide scientists with data to help inform their decisions about where to make more resource-intensive targeted observations.
    Keywords: Cybernetics, Artificial Intelligence and Robotics; Ground Support Systems and Facilities (Space)
    Type: JPL-CL-CL#17-3749 , International Joint Conference on Artificial Intelligence (IJCAI-17); Aug 19, 2017 - Aug 25, 2017; Melbourne; Australia
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  • 2
    Publication Date: 2019-08-14
    Description: Achieving consistently high levels of productivity has been a challenge for Mars surface missions. While the rovers have made major discoveries and dramatically increased our understanding of Mars, they often require a great deal of effort from the operations teams and achieving mission objectives can take longer than anticipated. Missions have begun investigating ways to enhance productivity by increasing the amount of decision-making performed onboard the rovers. Our work focuses on the use of goal-based commanding as a means of more productively operating rovers. In particular, we are working on ways to convey the intent that operations team use to conduct science campaigns to the rover so that it can guide the rover in creating high quality plans and in identifying its own goals based on operator guidance. In addition to informing future surface exploration missions, this work is relevant for a wide range of applications in which operators must interact with limited communication opportunities.
    Keywords: Space Communications, Spacecraft Communications, Command and Tracking; Lunar and Planetary Science and Exploration
    Type: JPL-CL-CL#17-2258 , Planning and Robotics Workshop of ICAPS 2017; Jun 19, 2017 - Jun 20, 2017; Pittsburgh, PA; United States|International Conference on Automated Planning and Scheduling (ICAPS 2017); Jun 18, 2017 - Jun 23, 2017; Pittsburgh, PA; United States
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  • 3
    Publication Date: 2019-08-14
    Description: Achieving consistently high levels of productivity has been a challenge for Mars surface missions. While the rovers have made major discoveries and dramatically increased our understanding of Mars, they often require a great deal of effort from the operations teams and achieving mission objectives can take longer than anticipated. We conducted an in-depth case study of Mars Science Laboratory operations in order to identify the productivity challenges facing surface missions. In this paper, we describe how we performed the case study and analyzed the data. We present and discuss the significant productivity challenges we identified during the study. In addition to informing future surface exploration missions, the study is relevant for a wide range of applications in which operators must interact with a robotic system with limited communication opportunities.
    Keywords: Lunar and Planetary Science and Exploration
    Type: JPL-CL-CL#17-2203 , International Conference on Automated Planning and Scheduling (ICAPS 2017); Jun 18, 2017 - Jun 23, 2017; Pittsburgh, PA; United States
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