Design and analysis of swarm spherical robot based on machine vision

Huang Peng, Yang Xiaoying, Liu Chenghao, Yi Dongwang, Cao Weihua, Mu Zongbo
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Abstract

In this paper, a swarm spherical robot based on machine vision is proposed to adapt to the special applications of robots in the fields of land-based safety, navigation, surveillance and exploration, and discusses the spherical robot in terms of mechanism, control principles and positioning, respectively. The spherical robot structure is a telescopic low-degree-of-freedom parallel metamorphic mechanism, which is first analyzed mechanically using a modified Grubler-Kutzbach criterion to determine the degrees of freedom and to analyse the mechanics of key components. Secondly, the swarm robot consists of multiple spherical robots connected by magnetic forces. By designing a relevant path planning scheme to control the sequence of movements of these spherical robots, the movement of the whole swarm in the direction of a specific point can be achieved. Finally, the positioning and wireless control scheme of swarm robot based on machine vision is presented, and the motion principle of swarm robot is briefly introduced.
基于机器视觉的群球机器人设计与分析
本文针对机器人在陆基安全、导航、监视和探测等领域的特殊应用,提出了一种基于机器视觉的群体球形机器人,并分别从机构、控制原理和定位三个方面对球形机器人进行了讨论。该球形机器人结构为可伸缩的低自由度并联变形机构,首先采用改进的Grubler-Kutzbach准则对其进行了力学分析,确定了机器人的自由度,并对关键部件进行了力学分析。其次,群机器人由多个球形机器人通过磁力连接而成。通过设计相应的路径规划方案来控制这些球形机器人的运动顺序,可以实现整个群体在特定点方向上的运动。最后,提出了基于机器视觉的群体机器人定位与无线控制方案,并简要介绍了群体机器人的运动原理。
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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