基于YOLOv5的超市自动取货机器人设计与实现

Design and implementation of YOLOv5-based supermarket automatic pickup robot

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.