Human robot interaction for agricultural Tele-Operation, using virtual Reality: A feasibility study

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2024-11-30 DOI:10.1016/j.compag.2024.109702
Daniel Udekwe, Hasan Seyyedhasani
{"title":"Human robot interaction for agricultural Tele-Operation, using virtual Reality: A feasibility study","authors":"Daniel Udekwe,&nbsp;Hasan Seyyedhasani","doi":"10.1016/j.compag.2024.109702","DOIUrl":null,"url":null,"abstract":"<div><div>With the increasing demand for efficient and sustainable agricultural practices, the automation of tasks such as crop inspection and harvesting has become a critical endeavor. However, the complex and dynamic nature of agricultural environments poses challenges for conventional methods that are fully autonomous or those relying on traditional interfaces. To address these challenges, we propose a solution that leverages the capabilities of Virtual Reality (VR) to provide operators with an intuitive and immersive control experience. This paper introduces a novel method for tele-operating a robotic system in agriculture using VR technology. By integrating a VR device with SteamVR and Unity 3D, users can control a mobile robotic module over a local network or the internet using VR hand controllers and a headset. In order to validates the system feasibility, we case studied two agricultural operations in lab settings: leaf inspection and crop harvesting.</div><div>The results of this study were evaluated based on the cycle completion time (CCT) and the success rate of robot-plant interaction (RPI). For fruit harvesting, with a sample size (N) = 5, the mean CCT was approximately 18 s, with a standard deviation of nearly 5 s, indicating an improvement compared to existing autonomous systems in the literature. Additionally, in the leaf inspections, the mean CCT resulted in approximately 26 s with the standard deviation of nearly 6 s with the same sample size. The RPI success rate reached up to 90 % in the fruit harvesting practices. And in leaf inspection practices, this metric averaged two attempts per diseased leaf, 50 %, to grasp it and bring it to the operator’s attention. Through this study, the combination of consumer-grade VR technologies with a mobile robotic manipulation system highlights the system’s promise in improving remote agricultural tasks, especially in response to labor scarcity and improving farmworker efficiency.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"228 ","pages":"Article 109702"},"PeriodicalIF":7.7000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169924010937","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

With the increasing demand for efficient and sustainable agricultural practices, the automation of tasks such as crop inspection and harvesting has become a critical endeavor. However, the complex and dynamic nature of agricultural environments poses challenges for conventional methods that are fully autonomous or those relying on traditional interfaces. To address these challenges, we propose a solution that leverages the capabilities of Virtual Reality (VR) to provide operators with an intuitive and immersive control experience. This paper introduces a novel method for tele-operating a robotic system in agriculture using VR technology. By integrating a VR device with SteamVR and Unity 3D, users can control a mobile robotic module over a local network or the internet using VR hand controllers and a headset. In order to validates the system feasibility, we case studied two agricultural operations in lab settings: leaf inspection and crop harvesting.
The results of this study were evaluated based on the cycle completion time (CCT) and the success rate of robot-plant interaction (RPI). For fruit harvesting, with a sample size (N) = 5, the mean CCT was approximately 18 s, with a standard deviation of nearly 5 s, indicating an improvement compared to existing autonomous systems in the literature. Additionally, in the leaf inspections, the mean CCT resulted in approximately 26 s with the standard deviation of nearly 6 s with the same sample size. The RPI success rate reached up to 90 % in the fruit harvesting practices. And in leaf inspection practices, this metric averaged two attempts per diseased leaf, 50 %, to grasp it and bring it to the operator’s attention. Through this study, the combination of consumer-grade VR technologies with a mobile robotic manipulation system highlights the system’s promise in improving remote agricultural tasks, especially in response to labor scarcity and improving farmworker efficiency.
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
求助全文
约1分钟内获得全文 去求助
来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
期刊最新文献
Optimization and testing of a mechanical roller seeder based on DEM-MBD rice potting tray Development of plant phenotyping system using Pan Tilt Zoom camera and verification of its validity Human robot interaction for agricultural Tele-Operation, using virtual Reality: A feasibility study Corrigendum to “A chlorophyll-constrained semi-empirical model for estimating leaf area index using a red-edge vegetation index” [Comput. Electron. Agric. 220 (2024) 108891] Design and experiment of monitoring system for feed rate on sugarcane chopper harvester
×
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