导纳
机器人
变量(数学)
扭矩
控制理论(社会学)
控制(管理)
计算机科学
操作员(生物学)
模拟
控制工程
人机交互
工程类
人工智能
数学
物理
电阻抗
数学分析
电气工程
基因
热力学
抑制因子
转录因子
化学
生物化学
作者
Gitae Kang,Hyun Seok Oh,Joon Kyue Seo,Uikyum Kim,Hyouk Ryeol Choi
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2019-06-01
卷期号:24 (3): 1023-1032
被引量:110
标识
DOI:10.1109/tmech.2019.2910237
摘要
This paper presents a variable admittance control method to achieve intuitive human-robot interactions that consider human intentions. Human intention is classified into two categories-direct and indirect. With respect to direct intention, the concept of standard force is introduced to adjust the interacting force. The proposed variable admittance control method improves intuitiveness when velocity is used as an estimate of direct intention. In the estimation of indirect intention, a force guidance method is suggested to make a robot follow and guide a human. The proposed control methodology is adapted to a six-DOF manipulator based on a one-dimensional analysis. The experiments are conducted with a manipulator (Universal Robots, UR10) and a force/torque sensor (Robotus, RFT60-HA) to evaluate the performance. The experiments validate that variable admittance control enhances the execution time, accuracy, and comfort of the operator.
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