Identifying Safety Conditions of Human-Robot Collision based on Skin Injury Analysis

Doyeon Han, M. Park, Heonseop Shin, Kyung-Sook Kim, S. Rhim
{"title":"Identifying Safety Conditions of Human-Robot Collision based on Skin Injury Analysis","authors":"Doyeon Han, M. Park, Heonseop Shin, Kyung-Sook Kim, S. Rhim","doi":"10.1109/URAI.2018.8441793","DOIUrl":null,"url":null,"abstract":"Over the last few years, the robotics technology has rapidly evolved in terms of the safety enhancement. With the improvement the collaborative operation between the industrial robot and the human is now an appealing viable option. As the collaboration between the human and robot becomes more frequent, the requirement for the safety of the human in the case of collision with the robot draws much more attention. From this point of view, lot of research about the collision safety of the human has been reported recently. Most of them, however, are focused on the severe collision cases of the fatal injury. Which is mainly due to the lack of the analysis data for the minor injury. In this paper, the skin injury that is defined as a minor injury is analyzed with experimental data. Based on the analysis result, the acceptable impact (collision) condition for the robot is estimated.","PeriodicalId":347727,"journal":{"name":"2018 15th International Conference on Ubiquitous Robots (UR)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Conference on Ubiquitous Robots (UR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2018.8441793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Over the last few years, the robotics technology has rapidly evolved in terms of the safety enhancement. With the improvement the collaborative operation between the industrial robot and the human is now an appealing viable option. As the collaboration between the human and robot becomes more frequent, the requirement for the safety of the human in the case of collision with the robot draws much more attention. From this point of view, lot of research about the collision safety of the human has been reported recently. Most of them, however, are focused on the severe collision cases of the fatal injury. Which is mainly due to the lack of the analysis data for the minor injury. In this paper, the skin injury that is defined as a minor injury is analyzed with experimental data. Based on the analysis result, the acceptable impact (collision) condition for the robot is estimated.
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
基于皮肤损伤分析的人机碰撞安全条件识别
在过去的几年里,机器人技术在安全性增强方面得到了迅速发展。随着技术的进步,工业机器人与人之间的协同操作已成为一种诱人的可行选择。随着人与机器人之间的协作日益频繁,人类在与机器人发生碰撞时的安全要求越来越受到人们的关注。从这个角度来看,近年来关于人体碰撞安全的研究有很多报道。然而,他们大多集中在致命伤害的严重碰撞案件。这主要是由于缺乏对轻伤的分析数据。本文用实验数据对定义为轻伤的皮肤损伤进行了分析。根据分析结果,估计了机器人可接受的冲击(碰撞)条件。
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
Pneumatic Sleeve-Assisted Stable sEMG Measurement for Microneedle Array Electrode The creation of SanTO: a robot with “divine” features Design, Implementation, and Control of the Underwater Legged Robot AquaShoko for Low-Signature Underwater Exploration Shared Teleoperation for Nuclear Plant Robotics Using Interactive Virtual Guidance Generation and Shared Autonomy Approaches IPMC Embedded in a Pneumatic Soft Robotic Actuator: Preliminary Experiments in Actuation and SensingBehaviors
×
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