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Real-time cloud robotics in practical smart city applications

机译:实时智慧城市应用中的实时云机器人

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摘要

Smart mobile devices are one of the main factors of realizing the smart city of tomorrow. To this aim, in this paper, we investigate utilizing cloud robotics as a practical processing platform for making the existing inexpensive mobile devices such as robots smarter and collaborative. Smart cities with the scattered massive number of sensors would need complicated infrastructure to connect and process large quantities of data. Cloud robotics has emerged as an efficient computing means in intensive data processing applications. Hence, we introduce C2RO cloud robotics platform that uses real-time stream processing technology to virtually connect the energy-efficient and low-cost city mobile devices or sensors. Moreover, to mitigate the effects of latency, we propose the hybrid cloud robotics computation model used in C2RO cloud robotics platform as a processing model employing both edge and cloud computing technologies in robotics. We demonstrate the superiority of C2RO platform through practical experiments and show that our proposed computational model provides significant optimization in the latency and processing rate, and achieves the real-time target of a high-profile urban project.
机译:智能移动设备是实现未来智能城市的主要因素之一。为此,在本文中,我们研究将云机器人技术用作一种实用的处理平台,以使诸如机器人之类的现有廉价移动设备变得更加智能和协作。散布着大量传感器的智慧城市将需要复杂的基础架构来连接和处理大量数据。云机器人技术已成为密集数据处理应用程序中的一种高效计算手段。因此,我们引入了C2RO云机器人技术平台,该平台使用实时流处理技术来虚拟连接高能效和低成本的城市移动设备或传感器。此外,为减轻延迟的影响,我们提出了在C2RO云机器人平台中使用的混合云机器人计算模型,作为在机器人技术中同时使用边缘和云计算技术的处理模型。我们通过实际实验证明了C2RO平台的优越性,并表明我们提出的计算模型在等待时间和处理速率上提供了显着的优化,并实现了引人注目的城市项目的实时目标。

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