Multi-UGV Experimental Platform Based on Cloud and Edge Control: Design and Implementation

Rui Hu, Yuanqing Xia, Min Lin, Shuang Wu
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Abstract

This paper presents a novel framework of a multi-UGV experimental platform based on cloud and edge control. Cloud control is introduced to the framework aiming at the problems caused by increasing amount of data as the number of UGV increases. In order to ensure the real-time control, edge control is also adopted in the framework. In addition, cloud workflow scheduling is considered in this paper, which involves finding the optimal mapping between computing resources and work tasks. An experiment of consensus-based dynamic role assignment was implemented on the designed platform to verify the feasibility and reliability in multi-UGV control.
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基于云和边缘控制的多ugv实验平台:设计与实现
提出了一种基于云和边缘控制的多ugv实验平台框架。针对UGV数量增加导致数据量增加所带来的问题,在框架中引入了云控制。为了保证实时控制,在框架中还采用了边缘控制。此外,本文还考虑了云工作流调度问题,该问题涉及到计算资源与工作任务之间的最优映射。在设计的平台上进行了基于共识的动态角色分配实验,验证了多ugv控制的可行性和可靠性。
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