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一种改进的货架物品抓取方法

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为了避免机器人在识别货架物品时对背景多余平面产生误提取状态,设计一种改进的货架物品抓取方法.采用一种基于法向量的随机采样一致性算法对货架平面进行分割,利用欧氏聚类算法得到货架平面上方商品的位置信息,并在系统内将采集到的数据集反馈给上位机,为机器人和机械臂的运动规划提供指令参数.实验结果表明,这种机器人可以有效避免对多余平面的识别,高效完成货架平面识别以及商品的抓取任务.
An Improved Method for Grabbing Goods on the Shelf
In order to avoid the false extraction of redundant planes in the background when the robot is recognizing goods on the shelf,an improved method for grabbing goods on the shelf is designed.A random sampling consistency algorithm based on normal vector is used to segment the shelf plane,and the European clustering algorithm is used to obtain the location informa-tion of the goods above the shelf plane,and the collected data set is fed back to the upper computer in the system to provide command parameters for the motion planning of robots and mechanical arms.The experimental results show that the robot can effectively avoid the recognition of redundant planes and complete shelf plane recognition and good grabbing task.

robotpoint cloudclusteringmanipulator grab

王庆辉、顾怿晨

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沈阳化工大学,信息工程学院,辽宁,沈阳 110000

机器人 点云 聚类 机械臂抓取

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(8)
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