面向复杂工业环境的工业机器人视觉识别与控制技术研究  

Research on Visual Recognition and Control Technology of Industrial Robots for Complex Industrial Environments

作　　者：杨光 Yang Guang(Henan Industrial and Trade Vocational College,Zhengzhou,Henan 451191,CHN)

机构地区：[1]河南工业贸易职业学院,河南郑州451191

出　　处：《模具制造》2025年第5期193-195,198,共4页Die & Mould Manufacture

基　　金：2025年度河南省高等学校重点科研项目“基于深度学习的工业机器人抓取系统研究”(编号:25A413011)。

摘　　要：聚焦于面向复杂工业环境的工业机器人视觉识别与控制技术。负责解决复杂工业场景中光照变化、遮挡、多目标干扰等问题,包括对工业机器人视觉识别技术的组成、图像处理与特征提取方法进行分析,以及积极探索深度学习算法在目标分类、检测与分割中的应用。还针对其控制系统如何构建和运作,以及掌握控制算法原理进行说明,并重点追踪了运动学求解、路径规划及视觉伺服控制技术。The focus of this study is on the visual recognition and control technology of industrial robots for complex industrial environments.Responsible for solving problems such as lighting changes,occlusion,and multi-target interference in complex industrial scenes,including analyzing the composition of industrial robot visual recognition technology,image processing,and feature extraction methods,and actively exploring the application of deep learning algorithms in object classification,detection,and segmentation.It also explains how to construct and operate its control system,as well as master the principles of control algorithms,and focuses on tracking kinematic solving,path planning,and visual servo control technology.

关 键 词：复杂工业环境 工业机器人 视觉识别 图像处理 

分 类 号：TH16[机械工程—机械制造及自动化]