Evaluation and Modification of Kinetic Gas Collision Theory as Applied to Encounter Rate Dynamics for Multi-Robot Groups and Robot Swarms

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL Journal of Computational and Nonlinear Dynamics Pub Date : 2023-05-04 DOI:10.1115/1.4062202
Adam Schroeder, Glenn Lipscomb
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Abstract

Abstract Robots encountering other robots in a group can be beneficial, e.g., to exchange information, or detrimental, e.g., obstructing one another from operating. Kinetic gas theory (KGT) provides a statistical mechanical analysis of the collision rate between molecules. KGT has been applied to model robot encounter rates but there has been some inconsistency in how it has been applied to robot groups. There is a nine order of magnitude difference in size between a typical robot and molecule, so it is not a surprise that some adjustments may need to be made when considering robots instead of molecules. This work develops a model in detail by applying KGT, articulates limitations of applying this theory to robots, highlights inconsistencies in how it has been previously applied to robots, and suggests modifications to the model. A simple numerical study is also shown to validate the model and highlight the effect of differences in the implementation. The most important gap that this research has identified is the need to collect data on the magnitude and direction distribution of robots' velocities. Robots move and behave differently than gas molecules, whose velocity magnitude follow a Boltzmann distribution. A second major result is the connection of the KGT-based model developed in this work and previous research on robot encounter rate which independently arrived at the same relationship between robot size, number of robots, and encounter rate.
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气体碰撞动力学理论在多机器人群与机器人群相遇率动力学中的应用评价与修正
机器人在一个群体中遇到其他机器人可能是有益的,例如,交换信息,或者是有害的,例如,阻碍彼此的操作。气体动力学理论(KGT)提供了分子间碰撞率的统计力学分析。KGT已被应用于模拟机器人的相遇率,但在如何将其应用于机器人群体方面存在一些不一致。典型的机器人和分子的大小相差9个数量级,所以当考虑机器人而不是分子时,可能需要进行一些调整也就不足为奇了。这项工作通过应用KGT开发了一个详细的模型,阐明了将该理论应用于机器人的局限性,突出了以前应用于机器人的不一致之处,并建议对模型进行修改。一个简单的数值研究也证明了模型的有效性,并突出了实现中差异的影响。这项研究发现的最重要的差距是需要收集关于机器人速度的大小和方向分布的数据。机器人的运动和行为与气体分子不同,气体分子的速度大小遵循玻尔兹曼分布。第二个主要结果是将本工作中开发的基于kgt的模型与先前关于机器人相遇率的研究联系起来,这些研究独立地得出了机器人尺寸、机器人数量和相遇率之间的相同关系。
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.
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