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Scientist-Guided Autonomy for Self-Reliant RoversAlthough 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.
Document ID
20190028574
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Doran, Gary
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Rebbapragada, Umaa
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Song, Eugenie
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Wagstaff, Kiri
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Gaines, Daniel
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Anderson, Robert
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Vasavada, Ashwin
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 1, 2019
Publication Date
August 19, 2017
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Ground Support Systems And Facilities (Space)
Report/Patent Number
JPL-CL-CL#17-3749
Report Number: JPL-CL-CL#17-3749
Meeting Information
Meeting: International Joint Conference on Artificial Intelligence (IJCAI-17)
Location: Melbourne
Country: Australia
Start Date: August 19, 2017
End Date: August 25, 2017
Sponsors: King Abdullah Univ. of Science and Technology (KAUST), Queensland Univ., Griffith University, RMIT University, Australian National University, University of Sydney, University of Technology, University of Melbourne, Auckland University of Technology (AUT University), International Joint Conferences on Artificial Intelligence (IJCAI), New South Wales Univ., Monash University, Australian Computer Society (ACS), National Science Foundation
Distribution Limits
Public
Copyright
Other

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