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日光温室番茄采摘机器人设计与试验
引用本文:于丰华,周传琦,杨鑫,郭忠辉,陈春玲.日光温室番茄采摘机器人设计与试验[J].农业机械学报,2022,53(1):41-49.
作者姓名:于丰华  周传琦  杨鑫  郭忠辉  陈春玲
作者单位:沈阳农业大学信息与电气工程学院,沈阳110866;辽宁省农业信息化工程技术研究中心,沈阳110866;沈阳农业大学信息与电气工程学院,沈阳110866
基金项目:国家重点研发计划“政府间国际科技创新合作”重点专项(2019YFE0197700)
摘    要:针对目前日光温室中番茄采摘主要靠人工且费时费力的问题,设计并制作了一种可以应用于日光温室的番茄采摘机器人.该机器人能够在大棚垄道间巡检并自动识别成熟番茄,完成采摘、收集.本设计以STM32微控制器为主控制器,使用麦克纳姆轮全向移动平台作为机器人的移动底盘,采用由Raspberry Pi 4B控制器驱动的深度相机作为成熟...

关 键 词:日光温室  番茄采摘机器人  机械臂  R-FCN目标检测网络
收稿时间:2021/7/21 0:00:00

Design and Experiment of Tomato Picking Robot in Solar Greenhouse
YU Fenghu,ZHOU Chuanqi,YANG Xin,GUO Zhonghui,CHEN Chunling.Design and Experiment of Tomato Picking Robot in Solar Greenhouse[J].Transactions of the Chinese Society of Agricultural Machinery,2022,53(1):41-49.
Authors:YU Fenghu  ZHOU Chuanqi  YANG Xin  GUO Zhonghui  CHEN Chunling
Institution:Shenyang Agricultural University
Abstract:With the popularization and development of solar greenhouse in recent years, more and more crops began to be planted in solar greenhouse. At present, in the greenhouse garden, picking tomatoes mainly relies on fruit farmers to complete manually, which not only consumes a lot of work force, but also wastes a lot of time. Taking tomato as an example, a tomato picking robot was designed which can be applied to solar greenhouse garden, patrol between greenhouse and ridge road and automatically identify ripe tomato in real time, and complete picking and collecting after identifying successful tomato. STM32 microcontroller was the main core of this design. The Mecanum wheel omni directional mobile platform was used as the mobile chassis of the robot, and the depth camera driven by Raspberry Pi 4B controller was used as the recognition device of mature tomatoes. The platform on the chassis was equipped with a wind compensation fan and a 6-DOF horizontal sliding mechanical arm. The arm was equipped with a flexible grip attached to a thin-film pressure sensor. The whole upper platform was driven by the vertical lifting structure installed on the platform under the chassis. The sliding mechanism and the lifting mechanism were equipped with ranging sensors. Through the recognition and capture of the camera driven by Raspberry Pi 4B, the coordinate data of the ripe tomato was transmitted to the STM32 controller through the serial bus. The STM32 controller drove the joint action of the mechanical arm, slide rail and lifting platform through inverse kinematics analysis of the mechanical arm, and can pick tomatoes at different heights and depths with the action of the end joint of the mechanical arm.
Keywords:solar greenhouse  tomato picking robot  robotic arm  R-FCN target detection network
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