This 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 end-effector. 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.


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    Titel :

    ARIEL: Autonomous Excavation Site Selection for Europa Lander Mission Concept


    Beteiligte:
    Ono, Masahiro (Autor:in) / Doran, Gary (Autor:in) / Langert, Erik (Autor:in) / Wagstaff, Kiri (Autor:in) / Kim, David Inkyu (Autor:in) / Gaut, Aaron (Autor:in) / Estlin, Tara (Autor:in) / Jain, Abhi (Autor:in) / Cameron, Marissa (Autor:in) / Muliere, David (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-03-01


    Format / Umfang :

    8463313 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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