Human Modeling and Passivity Analysis for Semi-Autonomous Multi-Robot Navigation in Three Dimensions

Takeshi Hatanaka;Takahiro Mochizuki;Takumi Sumino;José M. Maestre;Nikhil Chopra
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Abstract

In this article, we study a one-human-multiple-robot interaction for human-enabled multi-robot navigation in three dimensions. We employ two fully distributed control architectures designed based on human passivity and human passivity shortage. The first half of this article focuses on human modeling and analysis for the passivity-based control architecture through human operation data on a 3-D human-in-the-loop simulator. Specifically, we compare virtual reality (VR) interfaces with a traditional interface, and examine the impacts that VR technology has on human properties in terms of model accuracy, performance, passivity and workload, demonstrating that VR interfaces have a positive effect on all aspects. In contrast to 1-D operation, we confirm that operators hardly attain passivity regardless of the network structure, even with the VR interfaces. We thus take the passivity-shortage-based control architecture and analyze the degree of passivity shortage. We then observe through user studies that operators tend to meet the degree of shortage needed to prove closed-loop stability.
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用于半自主多机器人三维导航的人体建模和被动性分析
在这篇文章中,我们研究了一个人与多个机器人的互动,以实现人类支持的多机器人三维导航。我们采用了基于人的被动性和人的被动性不足而设计的两种全分布式控制架构。本文的前半部分侧重于通过三维人在环模拟器上的人类操作数据,对基于被动性的控制架构进行人类建模和分析。具体而言,我们将虚拟现实(VR)界面与传统界面进行了比较,并从模型准确性、性能、被动性和工作量等方面考察了 VR 技术对人体特性的影响,结果表明 VR 界面对各方面都有积极影响。与一维操作相比,我们证实,无论网络结构如何,即使使用 VR 界面,操作员也很难达到被动状态。因此,我们采用了基于被动性-短时控制的架构,并分析了被动性不足的程度。然后,我们通过用户研究发现,操作员往往能达到证明闭环稳定性所需的短缺程度。
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