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ARIEL: Autonomous Excavation Site Selection for Europa Lander Mission ConceptThis paper presents ARIEL (Autonomous Ranking and Interrogation of Excavation Location), an autonomy system for selecting an excavation site on-board for NASA’s Europa Lander Mission Concept. Historically, excavation site selection has been performed by a lengthy ground-in-the-loop (GITL) process involving manual inspections, assessments, and decision making in past missions. However, as Europa Lander would have approximately 20 days of lifetime after the landing, many surface activities, including excavation site selection, must be autonomously performed on-board. This paper describes the overall system of ARIEL as well as its two major algorithmic components: vision-based candidate selection and smart interrogation, which estimates the physical properties of the icy surface through physical contact with the robotic arm’s endeffector. Preliminary results are presented using images from Earth analogue sites. The Europa Lander mission returned to the formulation phases in early 2019 while ARIEL was at an early stage of development. Described in this paper is a snapshot of ARIEL as of the project suspension. This paper also describes the remaining challenges to be solved, should the mission resume in the future.
Document ID
20220000783
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Ono, Hiro
Doran, Gary
Langert, Erik
Wagstaff, Kiri
Kim, David Inkyu
Gaut, Aaron
Estlin, Tara
Jain, Abhi
Cameron, Marissa
Muliere, David
Roberts, Erik
Kriechbaum, Kristopher
Reeves, Glenn
Date Acquired
October 12, 2019
Publication Date
October 12, 2019
Publication Information
Publisher: Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019
Distribution Limits
Public
Copyright
Other
Technical Review

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