An Image-Based Human-Robot Collision Avoidance Scheme: A Proof of Concept.

Ziyang Xie, Lu Lu, Hanwen Wang, Li Li, Xu Xu
{"title":"An Image-Based Human-Robot Collision Avoidance Scheme: A Proof of Concept.","authors":"Ziyang Xie, Lu Lu, Hanwen Wang, Li Li, Xu Xu","doi":"10.1080/24725838.2023.2222651","DOIUrl":null,"url":null,"abstract":"<p><p>OCCUPATIONAL APPLICATIONSIn modern industrial plants, collisions between humans and robots pose a significant risk to occupational safety. To address this concern, we sought to devise a reliable system for human-robot collision avoidance system employing computer vision. This system enables the proactive prevention of dangerous collisions between humans and robots. In contrast to previous approaches, we used a standard RGB camera, making implementation more convenient and cost-effective. Furthermore, the proposed method greatly extends the effective detection range compared to previous studies, thereby enhancing its utility for monitoring large-scale workplaces.</p>","PeriodicalId":73332,"journal":{"name":"IISE transactions on occupational ergonomics and human factors","volume":" ","pages":"112-122"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE transactions on occupational ergonomics and human factors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24725838.2023.2222651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/22 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

OCCUPATIONAL APPLICATIONSIn modern industrial plants, collisions between humans and robots pose a significant risk to occupational safety. To address this concern, we sought to devise a reliable system for human-robot collision avoidance system employing computer vision. This system enables the proactive prevention of dangerous collisions between humans and robots. In contrast to previous approaches, we used a standard RGB camera, making implementation more convenient and cost-effective. Furthermore, the proposed method greatly extends the effective detection range compared to previous studies, thereby enhancing its utility for monitoring large-scale workplaces.

基于图像的人机防撞方案:概念验证。
职业应用 在现代工业厂房中,人类与机器人之间的碰撞对职业安全构成了重大风险。为了解决这一问题,我们试图利用计算机视觉设计一种可靠的人机防撞系统。该系统能够主动预防人类与机器人之间的危险碰撞。与以往的方法相比,我们采用了标准的 RGB 摄像机,使得实施更加方便,成本效益更高。此外,与之前的研究相比,所提出的方法大大扩展了有效检测范围,从而增强了其在监控大型工作场所方面的实用性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信