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Cloud robotics: A software architecture: For heterogeneous large-scale autonomous robots

机译:云机器人技术:一种软件架构:适用于异构大型自主机器人

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The paper proposes a software architecture for cloud robotics which intends three subsystems in the cloud environment: Middleware Subsystem, Background Tasks Subsystem, and Control Subsystem. The architecture invokes cloud technologies such as cloud computing, cloud storage, and other networking platforms arranged on the assistances of congregated infrastructure and shared services for robotics, for instance Robot Operating System (ROS). Since the architecture is looking for reliable, scalable, and distributed system for the heterogeneous large-scale autonomous robots, Infrastructure as a Service (IaaS) is chosen among the cloud services. Three major tasks can be handled by the proposed software architecture Computing, Storage, and Networking. Hadoop-MapReduce provides the appropriate framework in the cloud environment to process and handle these tasks.
机译:本文提出了一种用于云机器人的软件体系结构,该体系结构在云环境中包含三个子系统:中间件子系统,后台任务子系统和控制子系统。该体系结构调用云技术,例如云计算,云存储和其他网络平台,这些平台被安排在诸如机器人操作系统(ROS)之类的机器人基础设施和共享服务的协助下。由于该体系结构正在为异构大规模自治机器人寻找可靠,可扩展和分布式的系统,因此在云服务中选择了基础架构即服务(IaaS)。提议的软件体系结构“计算,存储和联网”可以处理三个主要任务。 Hadoop-MapReduce在云环境中提供了适当的框架来处理和处理这些任务。

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