A Comparative Study on the Effect of Mechanical Compliance for a Safe Physical Human–Robot Interaction
A Comparative Study on the Effect of Mechanical Compliance for a Safe Physical Human–Robot Interaction
复制标题
机械顺应性对安全物理人机交互影响的比较研究
DOI:
10.1115/1.4046068
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发表时间:
2020
影响因子:
3.3
通讯作者:
Wang, Junmin
中科院分区:
文献类型:
--
作者:
She, Yu;Song, Siyang;Su, Hai-Jun;Wang, Junmin
In this paper, we study the effects of mechanical compliance on safety in physical human–robot interaction (pHRI). More specifically, we compare the effect of joint compliance and link compliance on the impact force assuming a contact occurred between a robot and a human head. We first establish pHRI system models that are composed of robot dynamics, an impact contact model, and head dynamics. These models are validated by Simscape simulation. By comparing impact results with a robotic arm made of a compliant link (CL) and compliant joint (CJ), we conclude that the CL design produces a smaller maximum impact force given the same lateral stiffness as well as other physical and geometric parameters. Furthermore, we compare the variable stiffness joint (VSJ) with the variable stiffness link (VSL) for various actuation parameters and design parameters. While decreasing stiffness of CJs cannot effectively reduce the maximum impact force, CL design is more effective in reducing impact force by varying the link stiffness. We conclude that the CL design potentially outperforms the CJ design in addressing safety in pHRI and can be used as a promising alternative solution to address the safety constraints in pHRI.
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DOI:
10.1115/detc2015-46486
发表时间:
2015
期刊:
2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556)
影响因子:
--
作者:
Meiying Zhang;T. Laliberté;C. Gosselin
通讯作者:
C. Gosselin
影响因子:
9.2
作者:
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通讯作者:
Hirzinger, Gerd
DOI:
10.1109/robot.2009.5152602
发表时间:
2009
期刊:
2009 IEEE International Conference on Robotics and Automation
影响因子:
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作者:
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通讯作者:
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DOI:
10.1109/icra.2017.7989795
发表时间:
2017-05
期刊:
2017 IEEE International Conference on Robotics and Automation (ICRA)
影响因子:
--
作者:
Y. She;Deshan Meng;Junxiao Cui;H. Su
通讯作者:
Y. She;Deshan Meng;Junxiao Cui;H. Su
影响因子:
5.7
作者:
Gao, Dalong;Wampler, Charles W.
通讯作者:
Wampler, Charles W.