火星探测计划
机器人学
火星探测
火星漫游车
计算机科学
航空学
公里
一套
人工智能
实时计算
模拟
遥感
机器人
工程类
天体生物学
地质学
地理
运输工程
物理
考古
作者
Vandi Verma,Mark Maimone,Daniel Gaines,Raymond Francis,Tara Estlin,Stephen Kuhn,Gregg Rabideau,Steve Chien,Michael McHenry,Evan Graser,Arturo Rankin,Ellen Thiel
出处
期刊:Science robotics
[American Association for the Advancement of Science]
日期:2023-07-12
卷期号:8 (80): eadi3099-eadi3099
被引量:95
标识
DOI:10.1126/scirobotics.adi3099
摘要
NASA's Perseverance rover uses robotic autonomy to achieve its mission goals on Mars. Its self-driving autonomous navigation system (AutoNav) has been used to evaluate 88% of the 17.7-kilometer distance traveled during its first Mars year of operation. Previously, the maximum total autonomous distance evaluated was 2.4 kilometers by the Opportunity rover during its 14-year lifetime. AutoNav has set multiple planetary rover records, including the greatest distance driven without human review (699.9 meters) and the greatest single-day drive distance (347.7 meters). The Autonomous Exploration for Gathering Increased Science (AEGIS) system analyzes wide-angle imagery onboard to autonomously select targets for observations by the SuperCam instrument, a multimode sensor suite capable of millimeter-scale geochemical and mineralogical analysis. AEGIS enables observations of scientifically interesting targets during or immediately after long drives without the need for ground communication. OnBoard Planner (OBP) is a scheduling capability planned for operational use in September 2023 that has the potential to reduce energy usage by up to 20% and complete drive and arm-contact science campaigns in 25% fewer days on Mars. This paper presents an overview of the AutoNav, AEGIS, and OBP capabilities used on Perseverance.
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