He3-Seeker: Robotic Information Planning for Lunar Helium-3 Distribution Mapping
Abstract
Lunar helium-3 is a highly valuable strategic resource, pivotal to the advancement of both deep-space exploration and space mining. Existing lunar helium-3 exploration methodologies rely primarily on indirect measurements via remote sensing, which are often characterized by limited precision, low reliability, and insufficient spatial resolution. In this paper, we introduce He3-Seeker, an active robotic exploration method for helium-3 distribution mapping. First, we provide a formal definition of the active helium-3 exploration problem. Subsequently, we developed the He3-Seeker framework, which is conceptually based on multi-point drilling, sampling, and in situ analysis. In particular, we use robotic information planning (RIP) to guide autonomous robot navigation and active sensing. Additionally, to thoroughly evaluate the proposed algorithm, we introduce a reliable method for generating reference data of lunar helium-3 distribution based on low-resolution orbital remote sensing measurements. Simulation experiments verify that He3-Seeker achieves both rapid and high-fidelity mapping of helium-3 distribution, providing a reliable solution for resource exploration tasks. Our code and simulation environment will be publicly accessible at https://github.com/OpenSpace-Lab/He3-Seeker.
Keywords
Cite
@article{arxiv.2606.28746,
title = {He3-Seeker: Robotic Information Planning for Lunar Helium-3 Distribution Mapping},
author = {Dong Li and Yujie Zheng and Chengdeng Cao and Siyu Teng and Yuchen Li and Yang Gao and Long Chen},
journal= {arXiv preprint arXiv:2606.28746},
year = {2026}
}
Comments
Submitted to the International Conference on Space Robotics (iSpaRo) 2026