Scientific exploration of challenging planetary analog environments with a team of legged robots

机器人 地形 导线 行星探测 计算机科学 太空探索 人工智能 搜救 模拟 人机交互 工程类 航空航天工程 地质学 天体生物学 地理 火星探测计划 物理 地图学 大地测量学
作者
Philip Arm,Gabriel Waibel,Jan Preisig,Turcan Tuna,Ruyi Zhou,Valentin Bickel,Gabriela Ligeza,Takahiro Miki,Florian Kehl,Hendrik Kolvenbach,Marco Hutter
出处
期刊:Science robotics [American Association for the Advancement of Science]
卷期号:8 (80) 被引量:42
标识
DOI:10.1126/scirobotics.ade9548
摘要

The interest in exploring planetary bodies for scientific investigation and in situ resource utilization is ever-rising. Yet, many sites of interest are inaccessible to state-of-the-art planetary exploration robots because of the robots' inability to traverse steep slopes, unstructured terrain, and loose soil. In addition, current single-robot approaches only allow a limited exploration speed and a single set of skills. Here, we present a team of legged robots with complementary skills for exploration missions in challenging planetary analog environments. We equipped the robots with an efficient locomotion controller, a mapping pipeline for online and postmission visualization, instance segmentation to highlight scientific targets, and scientific instruments for remote and in situ investigation. Furthermore, we integrated a robotic arm on one of the robots to enable high-precision measurements. Legged robots can swiftly navigate representative terrains, such as granular slopes beyond 25°, loose soil, and unstructured terrain, highlighting their advantages compared with wheeled rover systems. We successfully verified the approach in analog deployments at the Beyond Gravity ExoMars rover test bed, in a quarry in Switzerland, and at the Space Resources Challenge in Luxembourg. Our results show that a team of legged robots with advanced locomotion, perception, and measurement skills, as well as task-level autonomy, can conduct successful, effective missions in a short time. Our approach enables the scientific exploration of planetary target sites that are currently out of human and robotic reach.
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