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中国农机化学报

中国农机化学报 ›› 2023, Vol. 44 ›› Issue (1): 192-198.DOI: 10.13733/j.jcam.issn.2095-5553.2023.01.027

• 农业智能化研究 • 上一篇    下一篇

温室草莓采摘机器人设计与试验

姬丽雯1, 2,刘永华1, 2,高菊玲1, 2,吴丹1, 2   

  1. 1. 江苏农林职业技术学院机电工程学院,江苏镇江,212400;
    2. 江苏省现代农业装备工程中心,江苏镇江,212400
  • 出版日期:2023-01-15 发布日期:2023-01-18
  • 基金资助:
    江苏农林职业技术学院科技项目(2018kj06);江苏省高校优秀科技创新团队项目(2020kj069)

Design and experiment of strawberry picking robot in greenhouse

Ji Liwen, Liu Yonghua, Gao Juling, Wu Dan.   

  • Online:2023-01-15 Published:2023-01-18

摘要: 为实现温室草莓采摘机械化和自动化,设计并制作一种应用于日光温室的草莓采摘机器人。该机器人能实现自主路径规划,行走过程中识别成熟草莓并完成采摘。设计以ROS分布式计算系为主控制网络,以激光雷达进行移动机器人的地图构建与定位,双目深度相机实现对成熟草莓的识别和定位,搭载柔性仿生夹爪6自由度机械臂实现目标草莓抓取和放置。设计机器人软件平台,使用改进A*算法实现自主路径规划和导航避障;利用R-FCN目标检测网络和双目视觉技术实现成熟草莓检测及定位。结果表明:该草莓采摘机器人可实现目标检测及定位,检测到的草莓坐标与机器人手爪坐标的误差在4 mm以下,成熟草莓识别率为95%,满足采摘要求。

关键词: 草莓采摘机器人, 路径规划, 改进A*算法, R-FCN目标检测网络

Abstract: In order to realize the mechanization and automation of strawberry picking in greenhouse, a strawberry picking robot used in solar greenhouse was designed and manufactured. The robot can realize autonomous path planning, identify mature strawberries and complete picking during walking. This design uses ROS distributed computing system as the main control network, uses laser radar to build and locate the map of mobile robot, binocular depth camera to identify and locate mature strawberries, and a 6-DOF mechanical arm equipped with flexible bionic grippers to grasp and place target strawberries. This paper also designs a robot software platform, using improved A* algorithm to achieve autonomous path planning and navigation obstacle avoidance; The R-FCN target detection network and binocular vision technology were used to detect and locate mature strawberries. The experimental results show that: the strawberry picking robot can achieve target detection and positioning, the error between the detected strawberry coordinates and the robots paw coordinates is less than 4 mm, and the recognition rate of mature strawberries is 95%, meeting the picking requirements.

Key words: strawberry picking robot, path planning, improved A* algorithm, R-FCN target detection network

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