Design and Implementation of in-Situ Thermal Probe of Lunar Surface Regolith Deployed by a Quadruped Robot

Lunar thermal detection aids in studying planetary formation and evolution, while mobile in-situ detection enables data collection from various locations. This paper introduces a mobile thermal detection system for deploying probes on the lunar surface, detailing its configuration on a quadruped robot, actuation mechanism, electronic components, and thermal probe. A data interpretation algorithm is proposed to predict thermal conductivity, with experimental and simulation comparisons. The proposed method increases the predictive correlation coefficient <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R^{2}$</tex> of lunar soil simulations from 0.5246 to 0.9494, which is based on a calibration model E-FEM with a relative error of less than 2% in the relative temperature change from experiments.

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Published
2024-11-01
DOI
https://doi.org/10.1109/icacr62205.2024.11053732
Primary Topic
Planetary Science and Exploration
Type
article
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article

Design and Implementation of in-Situ Thermal Probe of Lunar Surface Regolith Deployed by a Quadruped Robot

Haifeng Zhao, Yue Ying, Minghui Tang, Anping Wang et al.
Planetary Science and Exploration
article

Design and Implementation of in-Situ Thermal Probe of Lunar Surface Regolith Deployed by a Quadruped Robot

Haifeng Zhao, Yue Ying, Minghui Tang, Anping Wang, Xu Zhao, Fei Zhang, Yutong Wang, Zhitao Ning
article en

Abstract

Lunar thermal detection aids in studying planetary formation and evolution, while mobile in-situ detection enables data collection from various locations. This paper introduces a mobile thermal detection system for deploying probes on the lunar surface, detailing its configuration on a quadruped robot, actuation mechanism, electronic components, and thermal probe. A data interpretation algorithm is proposed to predict thermal conductivity, with experimental and simulation comparisons. The proposed method increases the predictive correlation coefficient <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$R^{2}$</tex> of lunar soil simulations from 0.5246 to 0.9494, which is based on a calibration model E-FEM with a relative error of less than 2% in the relative temperature change from experiments.

Chinese Academy of Sciences (CN), Technology and Engineering Center for Space Utilization (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 79%
Planetary Science and Exploration
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Design and Implementation of in-Situ Thermal Probe of Lunar Surface Regolith Deployed by a Quadruped Robot — Haifeng Zhao, Yue Ying, et al. · (2024) | TGRS Research Map | TGRS