Human-human interaction using a behavioural control strategy

Paramin Neranon, R. Bicker
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Abstract

This paper presents an outline of human-human interaction to establish a framework to understand how a behaviour based approach can be developed in the design of a human-robot interactive strategy. To approach the conceptual design guidelines for an interactive human-robot strategy, the mathematical model of human behaviour during transferring the compliant object to a receiver without any types of communication has been strategically analysed. The Auto Regressive Moving Average with Exogenous Input (ARMAX) system identification has been applied to identify the human arm model. A set of experiments have been designed (based on BoxBehnken), along with the influence variables affecting the human forces, which consist of mass, friction and target displacement. The estimated ARMAX models were shown to be good matching with the actual experimental data, where the best-fit percentages of human force profiles are between 88.73%-97.2%; the proposed models can then be used to present the human arm characteristics effectively.
使用行为控制策略的人际互动
本文提出了人机交互的大纲,以建立一个框架来理解如何在人机交互策略的设计中开发基于行为的方法。为了接近人机交互策略的概念设计指南,在没有任何类型的通信的情况下,从策略上分析了在将顺应对象转移到接收器期间人类行为的数学模型。将带外源输入的自回归移动平均(ARMAX)系统识别方法应用于人体手臂模型的识别。设计了一组实验(基于BoxBehnken),以及影响人的力量的影响变量,包括质量、摩擦和目标位移。结果表明,ARMAX模型与实际实验数据吻合较好,人的力分布曲线的最佳拟合百分比在88.73% ~ 97.2%之间;所提出的模型可以用来有效地呈现人体手臂的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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