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A Passive pHRI Controller for Assisting the User in Partially Known Tasks

机译:一种用于协助用户处于部分已知任务的无源PHRI控制器

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摘要

In this article, a passive physical human-robot interaction (pHRI) controller is proposed to enhance pHRI performance in terms of precision, cognitive load, and user effort, in cases partial knowledge of the task is available. Partial knowledge refers to a subspace of SE(3) determined by the desired task, generally mixing both position and orientation variables, and is mathematically approximated by parametric expressions. The proposed scheme, which utilizes the notion of virtual constraints and the prescribed performance control methodology, is proved to be passive with respect to the interaction force, while guaranteeing constraint satisfaction in all cases. The control scheme is experimentally validated and compared with a dissipative control scheme utilizing a KUKA LWR4+ robot in a master-slave task; experiments also include an application to a robotic assembly case.
机译:在本文中,提出了一种被动物理机器人交互(PHRI)控制器,以提高PHRI性能,在精确,认知负载和用户努力中,如果任务的部分知识可用。部分知识是指由所需任务确定的SE(3)的子空间,通常混合两个位置和方向变量,并且由参数表达式数学近似。利用虚拟约束的概念和规定的性能控制方法的拟议计划被证明是关于相互作用力的被动,同时保证所有情况下的约束满足感。通过在主从任务中使用Kuka LWR4 +机器人的耗散控制方案进行实验验证并将控制方案与耗散控制方案进行比较;实验还包括在机器人组装案例中的应用。

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