摘要
工业机器人的广泛应用是智能制造的关键特征之一,随着智能制造的加速推进,机器人化智能制造正逐渐成为制造业转型升级的重要抓手。在此背景下,本文瞄准航空工业面临的高精度、多品种、变批量和规模化定制挑战,系统梳理了面向航空工业的机器人化智能制造发展现状,重点分析了高精度感知与环境建模、单体机器人高精密制造与控制、多机器人协同制造与优化、人机协作与混合作业、数字孪生赋能机器人化制造管控等关键技术突破情况,并围绕飞机装配典型场景剖析机器人化智能制造在航空工业领域的工程实践经验和应用成效。发掘机器人化智能制造背景下航空工业的新质生产力,并提供转型升级的新路径与新动能。
The extensive application of industrial robots has become one of the key characteristics of smart manufacturing.With the accelerated advancement of intelligent manufacturing,robotic smart manufacturing is emerging as a crucial driver for industrial transformation and upgrading.In this context,this paper focuses on the challenges faced by the aviation industry,including high precision,multi-variety,variable-batch,and large-scale customized production,and systematically reviews the development status of robotic smart manufacturing in this field.The study highlights key technological advances such as high-precision perception and environmental modeling,precision manufacturing and control of individual robots,multi-robot collaborative manufacturing and optimization,human-robot collaboration and hybrid operations,and digital twin-enabled manufacturing control.Furthermore,typical engineering practices and application results of robotic smart manufacturing in representative aircraft assembly scenarios are analyzed.This work aims to explore new-quality productive forces for the aviation industry under the paradigm of robotic smart manufacturing and to provide new pathways and momentum for its intelligent transformation and sustainable upgrading.
作者
黄思翰
黄铭
张永辉
彭志诚
张茁
徐哲
邢宏文
张祥
王国新
阎艳
HUANG Sihan;HUANG Ming;ZHANG Yonghui;PENG Zhicheng;ZHANG Zhuo;XU Zhe;XING Hongwen;ZHANG Xiang;WANG Guoxin;YAN Yan(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 10081,China;Key Laboratory of High-end Equipment Knowledge&Data Fusion Technology and Application,Ministry of Industry and Information Technology,Beijing 100081,China;COMAC Shanghai Aircraft Manufacturing Co.,Ltd.,Shanghai 201324,China;AVIC Chengdu Aircraft Industry(Group)Co.,Ltd.,Chengdu 610091,China)
出处
《航空制造技术》
北大核心
2026年第5期26-54,共29页
Aeronautical Manufacturing Technology
基金
国家自然科学基金(52405530)。
关键词
智能制造
机器人化智能制造
航空工业
工业机器人
新质生产力
Smart manufacturing
Robotic smart manufacturing
Aviation industry
Industrial robots
New-quality productive forces
