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    FogROS2 使用 ROS 2 的云和雾机器人的自适应和可扩展平台

    FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2 Abstract— Mobility, power, and price points often dictate that robots do not have sufficient computing power on board to run modern robot algorithms at desired rates. Cloud computing providers such as AWS, GCP, and Azure offer immense computing power on demand, but tapping into that power from a robot is non-trivial. In this paper, we present FogROS2, an easy-to-use, open-source platform to facilitate cloud and fog robotics that is compatible with the emerging Robot Operating System 2 (ROS 2) standard. FogROS 2 provisions a cloud computer, deploys and launches ROS 2 nodes to the cloud computer, sets up secure networking between the robot and cloud, and starts the application running. FogROS 2 is completely redesigned and distinct from its predecessor to support ROS 2 applications, transparent video compression and communication, improved performance and security, support for multiple cloud-computing providers, and remote monitoring and visualization. We demonstrate in example applications that the performance gained by using cloud computers can overcome the network latency to significantly speed up robot performance. In examples, FogROS 2 reduces SLAM latency by 50%, reduces grasp planning time from 14s to 1.2s, and speeds up motion planning 28x. When compared to alternatives, FogROS 2 reduces network utilization by up to 3.8x. FogROS2, source, examples, and documentation is available at github.com/BerkeleyAutomation/FogROS2.

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    如何提升研发效能?这期百度技术沙龙与你畅聊!| Q推荐

    在互联网快速发展的时代,研发效能逐渐成为大家关注的焦点,倘若一个研发团队的技术能力、工程能力,无法与业务需求匹配做到高效交付,则可能随时面临故障爆发或系统崩溃等风险。 回归到真实的业务场景下,日趋复杂的产品开发需求往往使开发人员应接不暇,那么,到底该如何更高效、更高质量、可持续地交付有价值的产品?11 月 27 日,百度技术沙龙第 95 期将以“研发效能提升”为主题,我们邀请到了中国移动首席专家钱岭、百度智能云资深研发工程师章淼、清华大学计算机系长聘副教授裴丹以及敏捷教练张迎辉,与你畅谈研发效能这个热门话题

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    如何基于云计算技术进行数据管理

    数据的快速增长导致用户对计算机计算能力的需求越来越高。云计算在提高普通计算机快速处理能力上起到了很大的作用。云计算能够对普通用户使用计算机的模式进行改变,从而给用户提供按需分配的存储能力、计算能力以及应用服务能力等,给用户带来更多的方便,也在很大程度上降低了用户对软件和硬件采购的费用。但是,云计算需要各种技术手段作为支持,其中包括虚拟化技术、分布式的储存方式、计算数据的管理以及数据同步运算等等。 1.云计算技术 云计算是一种基于网络的新的计算方式。云计算的核心思想可以追溯到上世纪60年代。利用云计算和计算机

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