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A behavioural control strategy of human-human interaction in an object transfer task

机译:对象转移任务中人类交互的行为控制策略

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This paper presents an outline of human-human interaction (HHI) to establish a framework to understand how a behaviour based approach can be developed in the design of a human-robot interaction (HRI) strategy. To approach the conceptual design guidelines for a HRI control strategy, the human dynamic model of human behaviour during performing an object transfer task without any types of communication has been strategically analysed. The extended crossover model proposed by McRuer [1] has been applied to identify the human arm characteristic models under various conditions when executing cooperative tasks. A set of compliant-object-handover tasks have been designed and conveyed (based on Box-Behnken test design[1]), along with the influence variables affecting the human forces, consisting of mass, friction and target displacement. According to the results, the McRuer crossover models were appropriately estimated and reported to be in good matching with the actual experimental data. Additionally, it can be found that a loop gain (KH) is inversely proportional to the object distance moved and is associated with a faster response. The best-fit percentages of human force profiles are almost 100%; therefore, the proposed models can be used to present the human arm characteristics effectively.
机译:本文介绍了人类互动(HHI)的概要,以建立一个框架,以了解如何在人机交互(HRI)策略的设计中开发基于行为的方法。为了接近HRI控制策略的概念设计指南,在没有任何类型的通信的情况下执行对象传输任务期间人类行为的人体动态模型已经进行了策略性地分析。已经应用了Mcruer [1]提出的扩展交叉模型以在执行协作任务时在各种条件下识别人臂特征模型。设计并传达了一组符合物 - 对象切换任务(基于Box-Behnken测试设计[1]),以及影响人力的影响变量,由质量,摩擦和靶位移组成。根据结果​​,Mcruer交叉模型被适当地估计并报告与实际实验数据良好匹配。另外,可以发现,环增益(KH)与移动的对象距离成反比,并且与更快的响应相关联。人力概况的最佳百分比差不多是100%;因此,所提出的模型可用于有效地呈现人臂特性。

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