航天器工程2025，Vol.34Issue(5)：104-109,6.DOI:10.3969/j.issn.1673-8748.2025.05.014
基于数字样机的月面作业机器人智能学习方法设计与应用
Design and Application of Intelligent Learning Method for Lunar Operation Robots Based on Digital Prototypes
张亚航 1曹剑飞 1徐超凡 1李宇飞1
作者信息
- 1. 北京空间飞行器总体设计部,北京 100094
- 折叠
摘要
Abstract
Due to the unique constraints of lunar surface enviroment,such as one-sixth gravity,lack of atmospheric protection,and intense solar radiation faced by lunar surface operation robots during task execution,it is difficult to achieve high-precision simulation of these conditions in a terrestrial environment.These environmental differences pose significant difficulties in acquiring high-precision datasets required for the intelligent learning of robots,and the results of intelligent learning and training in terrestrial environment are difficult to deploy and verify.To overcome this technical bottleneck,an intelligent learning method for lunar operation robots based on digit-al prototypes is proposed,and a high-fidelity digital twin system for lunar surface operation ro-bots is constructed in this paper.This method effectively reduces the simulation verification cost throughout the entire task process and improves data acquisition efficiency by overcoming key technologies such as high-fidelity environmental modeling,high-precision digital twin construc-tion,and robot intelligent deployment verification.Currently,this technology has been success-fully applied in China's Chang'e Lunar Exploration Mission,providing important technical sup-port for the development of intelligent deep space exploration robots.关键词
智能学习/月面作业机器人/数字样机Key words
intelligent learning/lunar operation robots/digital prototypes引用本文复制引用
张亚航,曹剑飞,徐超凡,李宇飞..基于数字样机的月面作业机器人智能学习方法设计与应用[J].航天器工程,2025,34(5):104-109,6.
