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A Platform for Cloud Robotics

机译:云机器人的平台

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摘要

This paper presents the evolution of a software platform for supporting experimentation in mobile robotics as part of teaching and researching activities. Starting with Web-based laboratories (WebLabs) in the early 2000s the platform kept evolving according to the networking and distributed computing trends since then. In addition to the physical resources managed by the platform, the platform now is able to manage a pool of virtual machines as resources for experimentation. This new class of resources brings the processing power as required by many modern mobile robotics applications. Virtual machines can be widespread on a cluster of processors, on a private cloud computing infrastructure, or on a public cloud computing service. Like any other resource managed by the platform the access to the virtual machines is subjected to user authentication and authorization. A mechanism of user authentication and authorization based on federated identities (single-sign-on) allows the sharing resources maintained by different administrative domains. The paper emphasizes the current stage of the platform and a case study in mobile robotics localization. Localization, as many other mobile robotics algorithms, can employ parallelism at the cluster and cloud levels in order to improve speed, reliability, and scaling.
机译:本文作为教学和研究活动的一部分,提供了一种支持移动机器人实验的软件平台的演变。从基于Web的实验室(WeBlabs)开始于2000年代初,该平台根据网络和分布式计算趋势继续发展。除了平台管理的物理资源外,该平台现在还能够管理一款虚拟机池作为用于实验的资源。这类新的资源如许多现代移动机器人应用所需的处理能力带来了加工能力。虚拟机可以在私有云计算基础架构或公共云计算服务上广泛地普遍存在于处理器集群。与平台管理的任何其他资源一样,对虚拟机的访问受到用户身份验证和授权。基于联合身份(单点登录)的用户身份验证和授权机制允许由不同管理域系维护的共享资源。本文强调了平台的当前阶段和移动机器人本地化的案例研究。本地化,正如许多其他移动机器人算法,都可以在集群和云水平上采用并行性,以提高速度,可靠性和缩放。

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