Admittance Control for Human-Robot Interaction Using an Industrial Robot Equipped with a F/T Sensor

Eleonora Mariotti, Emanuele Magrini, Alessandro De Luca
{"title":"Admittance Control for Human-Robot Interaction Using an Industrial Robot Equipped with a F/T Sensor","authors":"Eleonora Mariotti, Emanuele Magrini, Alessandro De Luca","doi":"10.1109/ICRA.2019.8793657","DOIUrl":null,"url":null,"abstract":"We present an approach to safe physical Human-Robot Interaction (pHRI) for industrial robots, including collision detection, distinguishing accidental from intentional contacts, and achieving collaborative tasks. Typical industrial robots have a closed control architecture that accepts only velocity/position reference inputs, there are no joint torque sensors, and little or no information is available to the user on robot dynamics and on low-level joint controllers. Nonetheless, taking also advantage of the presence of a Force/Torque (F/T) sensor at the end-effector, a safe pHRI strategy based on kinematic information, on measurements from joint encoders and motor currents, and on end-effector forces/torques can be realized. An admittance control law has been implemented for collaboration in manual guidance mode, with whole-body collision detection in place both when the robot is in autonomous operation and when is simultaneously collaborating with a human. Several pHRI experiments validate the approach on a KUKA KR5 Sixx R650 robot equipped with an ATI F/T sensor.","PeriodicalId":6730,"journal":{"name":"2019 International Conference on Robotics and Automation (ICRA)","volume":"70 1","pages":"6130-6136"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Robotics and Automation (ICRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRA.2019.8793657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28

Abstract

We present an approach to safe physical Human-Robot Interaction (pHRI) for industrial robots, including collision detection, distinguishing accidental from intentional contacts, and achieving collaborative tasks. Typical industrial robots have a closed control architecture that accepts only velocity/position reference inputs, there are no joint torque sensors, and little or no information is available to the user on robot dynamics and on low-level joint controllers. Nonetheless, taking also advantage of the presence of a Force/Torque (F/T) sensor at the end-effector, a safe pHRI strategy based on kinematic information, on measurements from joint encoders and motor currents, and on end-effector forces/torques can be realized. An admittance control law has been implemented for collaboration in manual guidance mode, with whole-body collision detection in place both when the robot is in autonomous operation and when is simultaneously collaborating with a human. Several pHRI experiments validate the approach on a KUKA KR5 Sixx R650 robot equipped with an ATI F/T sensor.
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F/T传感器的工业机器人人机交互导纳控制
我们提出了一种用于工业机器人的安全物理人机交互(pHRI)方法,包括碰撞检测,区分意外接触和故意接触,以及实现协作任务。典型的工业机器人具有封闭的控制体系结构,仅接受速度/位置参考输入,没有关节扭矩传感器,并且很少或根本没有关于机器人动力学和低级关节控制器的信息可供用户使用。尽管如此,利用末端执行器上的力/扭矩(F/T)传感器,可以实现基于运动学信息、关节编码器和电机电流测量以及末端执行器力/扭矩的安全pHRI策略。在手动引导模式下的协作中实施了导纳控制律,当机器人处于自主操作状态和与人类同时协作时,都可以进行全身碰撞检测。几个pHRI实验在配备ATI F/T传感器的KUKA KR5 Sixx R650机器人上验证了该方法。
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
Improving collective decision accuracy via time-varying cross-inhibition Design of a Modular Continuum Robot Segment for use in a General Purpose Manipulator* Adaptive H∞ Controller for Precise Manoeuvring of a Space Robot Laparoscopy instrument tracking for single view camera and skill assessment Event-based, Direct Camera Tracking from a Photometric 3D Map using Nonlinear Optimization
×
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