云机器人架构:从比较分析的未来研究方向

Viraj Dawarka, Girish Bekaroo
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引用次数: 0

摘要

机器人技术和云计算的进步导致了云机器人的出现,机器人可以从远程处理、更大的内存和计算能力以及海量数据存储中受益。机器人和云计算的集成通常被认为是一个复杂的方面,因为在这样的系统中涉及各种组件。为了解决这个问题,不同的研究试图创建云机器人架构,以简化表示为不同的块或组件。然而,对这些架构进行严格审查和比较的研究有限。因此,本文对现有的云机器人架构进行了调查和比较分析,以确定关键的限制,并对云机器人架构的未来提出建议。作为本研究的一部分,对7个这样的体系结构进行了审查和比较,结果显示对现有体系结构的有限评估有利于安全弱点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Robotic Architectures: Directions for Future Research from a Comparative Analysis
Advances in robotics and cloud computing have led to the emergence of cloud robotics where robots can benefit from remote processing, greater memory and computational power, and massive data storage. The integration of robotics and cloud computing has often been regarded as a complex aspect due to the various components involved in such systems. In order to address this issue, different studies have attempted to create cloud robotic architectures to simplify representation into different blocks or components. However, limited study has been undertaken to critically review and compare these architectures. As such, this paper investigates and performs a comparative analysis of existing cloud robotic architectures in order to identify key limitations and recommend on the future of cloud robotic architectures. As part of this study, 7 such architectures have been reviewed and compared and results showed limited evaluation of existing architectures in favour of security weaknesses.
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