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

Arm, Philip; Waibel, Gabriel; Preisig, Jan; Tuna, Turcan; Zhou, Ruyi; Bickel, Valentin; Ligeza, Gabriela; Miki, Takahiro; Kehl, Florian; Kolvenbach, Hendrik; Hutter, Marco (2023). Scientific exploration of challenging planetary analog environments with a team of legged robots. Science Robotics, 8(80):eade9548.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Astrophysics
04 Faculty of Medicine > Institute of Anatomy
Dewey Decimal Classification:530 Physics
570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Health Sciences > General Medicine
Uncontrolled Keywords:Artificial Intelligence, Control and Optimization, Computer Science Applications, Mechanical Engineering
Language:English
Date:12 July 2023
Deposited On:02 Feb 2024 17:16
Last Modified:27 Feb 2025 02:40
Publisher:American Association for the Advancement of Science
ISSN:2470-9476
OA Status:Closed
Publisher DOI:https://doi.org/10.1126/scirobotics.ade9548
PubMed ID:37436970
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