Lightweight Long-Reach 5-DOF Robot Arm for Farm Application

Qianwei Zhang, R. Fotouhi, Joshua Cote, Majid Khak Pour
{"title":"Lightweight Long-Reach 5-DOF Robot Arm for Farm Application","authors":"Qianwei Zhang, R. Fotouhi, Joshua Cote, Majid Khak Pour","doi":"10.1115/detc2019-98366","DOIUrl":null,"url":null,"abstract":"\n Crop monitoring is frequently used by crop scientists to observe growth of plants and to relate plants phenotypes to their genotypes. Instead of traditional crop monitoring, which is labor intensive, high-throughput plant phenotyping (HTP) platforms using ground-based vehicle have several advantages over manual methods. Existing HTP platforms with robot arms has limited reach and payload, and they are sometimes not appropriate for monitoring large fields. In this research, a 5-DOF robot arm is developed and analyzed for monitoring several crops growth. This robot arm is a hybrid of both prismatic and rotational joints. This new mobile manipulator is light, has a compact structure, suitable for plant phenotyping, and doesn’t exist commercially. To investigate the performance of the robot arm, kinematics and dynamics analyses using Newton-Euler iterative method and MATLAB simulations are performed. Results matched with each other very well.","PeriodicalId":211780,"journal":{"name":"Volume 5B: 43rd Mechanisms and Robotics Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 5B: 43rd Mechanisms and Robotics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/detc2019-98366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Crop monitoring is frequently used by crop scientists to observe growth of plants and to relate plants phenotypes to their genotypes. Instead of traditional crop monitoring, which is labor intensive, high-throughput plant phenotyping (HTP) platforms using ground-based vehicle have several advantages over manual methods. Existing HTP platforms with robot arms has limited reach and payload, and they are sometimes not appropriate for monitoring large fields. In this research, a 5-DOF robot arm is developed and analyzed for monitoring several crops growth. This robot arm is a hybrid of both prismatic and rotational joints. This new mobile manipulator is light, has a compact structure, suitable for plant phenotyping, and doesn’t exist commercially. To investigate the performance of the robot arm, kinematics and dynamics analyses using Newton-Euler iterative method and MATLAB simulations are performed. Results matched with each other very well.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于农场应用的轻型长臂五自由度机械臂
作物监测经常被作物科学家用来观察植物的生长,并将植物的表型与基因型联系起来。传统的作物监测是劳动密集型的,而使用地面车辆的高通量植物表型(HTP)平台与人工方法相比具有几个优点。现有的带有机械臂的HTP平台具有有限的覆盖范围和有效载荷,并且有时不适合监测大型油田。在本研究中,开发并分析了一种用于监测几种作物生长的五自由度机械臂。这个机械臂是移动关节和旋转关节的混合体。这种新型移动机械手重量轻,结构紧凑,适合植物表型分析,目前还没有商业化。为了研究机械臂的性能,采用牛顿-欧拉迭代法进行了运动学和动力学分析,并进行了MATLAB仿真。结果非常吻合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Designing and Manufacturing a Super Excellent and Ultra-Cheap Energy Absorber by Origami Engineering Exploiting the Asymmetric Energy Barrier in Multi-Stable Origami to Enable Mechanical Diode Behavior in Compression Thick Folding Through Regionally-Sandwiched Compliant Sheets Synthesis of Stephenson III Timed Curve Generators Using a Probabilistic Continuation Method Deflection Maps of Elastic Catenary Cable-Driven Robots
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1