【摘要】 随着地球浅层高品位矿产资源的日益枯竭与地外资源战略价值的提升，月球矿产资源开发已成为太空探测的关键议题。当前，地球采矿机器人在露天、地下及深海场景中虽已趋成熟，却难以应对月球极端环境的重力失配、环境干扰与资源约束带来的挑战；与此同时，全球月球开发竞争日趋激烈，我国计划于2035年前后建成国际月球科研站并形成规模化采矿能力。本文通过全面分析地球采矿机器人技术体系，揭示其往月球应用迁移的适配性问题；提出以高度智能化-自适应为核心的月球专属技术体系，涵盖轻量化与抗干扰设计、智能环境感知与决策、自适应运动控制方向；指出仿生设计、虚实联动、AI持续学习与边缘计算的深度融合将推动月球智能采矿机器人向“认知—推理—学习”一体化的具身智能体演进，突破月球自主采矿瓶颈，加速我国太空资源开发战略落地。更多还原

【Abstract】 With the increase of depletion of high-grade shallow mineral resources on the Earth and the rising strategic value of extraterrestrial resources, the development of lunar mineral resources has become a key topic in space exploration. Currently, while terrestrial mining robots have matured in open-pit, underground, and deep-sea scenarios, they meet the challenges posed by the lunar extreme environment’s gravity mismatch, environmental interference and resource constraints. Simultaneously, global lunar development competition is intensifying, and China plans to establish an international lunar research station and achieve large-scale mining capabilities in 2035.To this end, the technical system of terrestrial mining robots was comprehensively analyzed to reveal the compatibility issues in its adaptation for lunar applications. A lunar-specific technical system was proposed centered on high-level intelligence and adaptability, encompassing lightweight and anti-interference design, intelligent environmental perception and decision-making, and adaptive motion control. Furthermore, the deep integration of bio-inspired design, virtual-real integration, continuous learning of artificial intelligence(AI) and edge computing were pointed out, which promotes the evolution of lunar intelligent mining robots into embodied intelligent agents with integrated "cognition-reasoning-learning" capabilities. This integration aims to break through the bottlenecks in lunar autonomous mining and accelerate the implementation of China’s space resource development strategy.更多还原