平台 | DockerHub 官网镜像测试 | 裸金属测试 | Ampere镜像测试 |
---|---|---|---|
Ampere Altra Family | 9 | ||
AmpereOne Family | 9 | ||
Azure | 9 | ||
Equinix | 9 | ||
9 | |||
OCI Ampere A1 计算实例 | 9 |
Ampere Computing's platforms are uniquely designed to meet the needs of the modern cloud native workload. DockerHub hosts a number of official images for a wide range of software that can be pulled and used anywhere docker is supported. These are a set of images hand selected by a dedicated team at Docker, Inc.
More information can be found in the official documentation on Official Images on Docker Hub.
Information & official documentation on Official Docker Hub Images. Information on RobotOS Native Application on Bare Metal
Robot Operating System (ROS or ros) is robotics middleware (i.e. collection of software frameworks for robot software development). Although ROS is not an operating system, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. Running sets of ROS-based processes are represented in a graph architecture where processing takes place in nodes that may receive, post and multiplex sensor data, control, state, planning, actuator, and other messages. Despite the importance of reactivity and low latency in robot control, ROS itself is not a real-time OS (RTOS). It is possible, however, to integrate ROS with real-time code. The lack of support for real-time systems has been addressed in the creation of ROS 2.0, a major revision of the ROS API which will take advantage of modern libraries and technologies for core ROS functionality and add support for real-time code and embedded hardware.
Software in the ROS Ecosystem can be separated into three groups:
- language-and platform-independent tools used for building and distributing ROS-based software; - ROS client library implementations such as roscpp, rospy, and roslisp; - packages containing application-related code which uses one or more ROS client libraries.
Both the language-independent tools and the main client libraries (C++, Python, and Lisp) are released under the terms of the BSD license, and as such are open source software and free for both commercial and research use. The majority of other packages are licensed under a variety of open source licenses. These other packages implement commonly used functionality and applications such as hardware drivers, robot models, datatypes, planning, perception, simultaneous localization and mapping, simulation tools, and other algorithms.
The main ROS client libraries are geared toward a Unix-like system, primarily because of their dependence on large collections of open-source software dependencies. For these client libraries, Ubuntu Linux is listed as "Supported" while other variants such as Fedora Linux, macOS, and Microsoft Windows are designated "experimental" and are supported by the community. The native Java ROS client library, rosjava, however, does not share these limitations and has enabled ROS-based software to be written for the Android OS. rosjava has also enabled ROS to be integrated into an officially supported MATLAB toolbox which can be used on Linux, macOS, and Microsoft Windows. A JavaScript client library, roslibjs has also been developed which enables integration of software into a ROS system via any standards-compliant web browser.
This article uses material from the Wikipedia article [Robot_Operating_System] (https://en.wikipedia.org/wiki/Robot_Operating_System), which is released under the Creative Commons Attribution-Share-Alike License 3.0.
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