摘要
设计开发了一款超市自动取货机器人。首先搭建可完成物体识别和运动控制的机器人系统,根据特定的超市环境,研究基于YOLOv5的视觉识别算法,实现目标商品的识别和定位。然后研究目标物体的抓取控制,完成目标物体的搬运。该机器人基于YOLOv5神经网络框架,具有较高的准确性,它既可帮助人们在超市内拾取商品,又可在物流作业线上抓取和搬运货物。
In this paper,a supermarket automatic pickup robot is designed and developed.Firstly,a robot system that can accomplish object recognition and motion control is built.Then the visual recognition algorithm based on YOLOv5 neural network is studied to realize the recognition and location of supermarket goods according to the supermarket environment,and the grasping control of target objects is studied to complete the handling of the target objects.The robot is based on the YOLOv5 neural network framework with high accuracy,and it can help people pick up goods in supermarkets as well as grasp and carry goods in logistics operating lines.
作者
高骏一
郑榜贵
王颖雪
刘楚彤
柳雨萌
关景华
Gao Junyi;Zheng Banggui;Wang Yingxue;Liu Chutong;Liu Yumeng;Guan Jinghua(Fan Gongxiu Honors College,Beijing University of Technology,Beijing 100124,China;Faculty of Information Technology,Beijing University of Technology)
出处
《计算机时代》
2023年第11期22-27,33,共7页
Computer Era
基金
国家自然科学基金项目(61873008)
北京工业大学“星火基金”项目(108000513103)
北京工业大学樊恭烋荣誉学院基石项目(108000514122001)。
