导纳
被动性
控制理论(社会学)
机器人
理论(学习稳定性)
控制工程
人机交互
刚度
控制(管理)
计算机科学
变量(数学)
工程类
模拟
人工智能
电阻抗
数学
数学分析
机器学习
电气工程
结构工程
作者
Federica Ferraguti,Chiara Talignani Landi,Lorenzo Sabattini,Marcello Bonfè,Cesare Fantuzzi,Cristian Secchi
标识
DOI:10.1177/0278364919840415
摘要
Admittance control allows a desired dynamic behavior to be reproduced on a non-backdrivable manipulator and it has been widely used for interaction control and, in particular, for human–robot collaboration. Nevertheless, stability problems arise when the environment (e.g. the human) the robot is interacting with becomes too stiff. In this paper, we investigate the stability issues related to a change of stiffness of the human arm during the interaction with an admittance-controlled robot. We propose a novel method for detecting the rise of instability and a passivity-preserving strategy for restoring a stable behavior. The results of the paper are validated on two robotic setups and with 50 users performing two tasks that emulate industrial operations.
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