复杂工业环境的视觉识别与自适应搬运机器人技术研究
Research on Visual Recognition and Adaptive Handling Robot Technology for Complex Industrial Environment
路林艳 1黄文涛 1张子鑫1
作者信息
- 1. 辽宁工程技术大学电气与控制工程学院,辽宁 葫芦岛 125000
- 折叠
摘要
提出了一种基于视觉识别与自适应搬运机器人技术研究.机器人以TC264为控制器,搭载摄像头,姿态传感器以及驱动模块等,运用目标检测寻找物体,利用卷积神经网络(Convolutional Neural Network,简称CNN)训练工业识别模型,实现摄像头对工业现场物体的识别与分类,再根据麦克纳姆全方位移动优势,进行姿态调整并作用于舵机实现自适应搬运,提高工作效率.
Abstract
A research on a visual recognition and adaptive handling robot technology is proposed.The robot takes TC264 as the controller,equipped with camera,attitude sensor and drive module,etc.It uses target detection to search for objects,uses Convolutional Neural Network(CNN)to train the industrial recognition model,realizes the recognition and classification of the objects on the industrial site by the camera,and then,according to the omni-directional movement advantage of McNamee,carries out the Then according to McNamee's omni-directional movement advantage,it will adjust the attitude and act on the servo to realize adaptive handling and improve the work efficiency.
关键词
卷积神经网络/机器视觉/自适应搬运/机器人Key words
convolutional neural network/machine vision/adaptive handling/robotics引用本文复制引用
出版年
2024
NETL
NSTL
万方数据