AI Vs Robot Mac OS

Applebot is the web crawler for Apple. Products like Siri and Spotlight Suggestions use Applebot.

Ai Vs Robot Mac Os Update
Ai Vs Robot Mac Os X

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Identifying Applebot

Ai Vs Robot Mac Os Update

Traffic coming from Applebot is identified by its user agent, and reverse DNS shows it in the *.applebot.apple.com domain, originating from the 17.0.0.0 net block.

Verifying that traffic is from Applebot

In macOS, the host command can be used to determine if an IP address is part of Applebot. These examples show the host command and its result:

The host command can also be used to verify that the DNS points to the same IP address:

Verifying Applebot user agent

The user-agent string contains ”Applebot” and other information. This is the format:

Examples for desktop:

Examples for mobile:

Customizing robot.txt rules

Applebot respects standard robots.txt directives that are targeted at Applebot. In this example, Applebot doesn't try to crawl documents that are under /private/ or /not-allowed/:

If robots instructions don't mention Applebot but do mention Googlebot, the Apple robot will follow Googlebot instructions.

Rendering and robot rules

Applebot may render the content of your website within a browser. If javascript, CSS, and other resources are blocked via robots.txt, it may not be able to render the content properly. This includes XHR, JS, and CSS that the page might require.

In order for Applebot to index the best content for the page, make sure that everything needed for a user to render the page is available to Applebot. Alternatively, make sure that the website renders cleanly, even if all of the resources are not available. This is often referred to as graceful degradation.

Customizing indexing rules for Applebot

Applebot supports robots meta tags in HTML documents. To specify robots rules in meta tags, put the tags in the <head> section of the document, like this:

Applebot also supports the following directives:

noindex: Applebot won't index this page, and it won't appear in Spotlight or Siri Suggestions.
nosnippet: Applebot won't generate a description or web answer for the page. Any suggestions to visit this URL will only include the page's title.
nofollow: Applebot won't follow any links on the page.
none: Applebot won't index, snippet, or follow links on the page, as described above.
all: Applebot provides the document for suggestions and snippets the contents so that a short description of the page can appear next to a representative image. Applebot may follow links on the page to provide more suggestions.

To put multiple directives in a single meta tag, use a comma-separated list or multiple meta tags. Examples:

About search rankings

Apple Search may take the following into account when ranking web search results:

Aggregated user engagement with search results
Relevancy and matching of search terms to webpage topics and content
Number and quality of links from other pages on the web
User location based signals (approximate data)
Webpage design characteristics

Search results may use the above factors with no (pre-determined) importance of ranking. Users of Search are subject to the privacy policy in Siri Suggestions, Search & Privacy.

Contact us

If you have questions or concerns, please contact us at applebot@apple.com.

Getting Started: Introduction Concepts Higher-Level Concepts Client Libraries Technical Overview

Contents

What is ROS?

The ROS runtime 'graph' is a peer-to-peer network of processes (potentially distributed across machines) that are loosely coupled using the ROS communication infrastructure. ROS implements several different styles of communication, including synchronous RPC-style communication over services, asynchronous streaming of data over topics, and storage of data on a Parameter Server. These are explained in greater detail in our Conceptual Overview.

Ai Vs Robot Mac Os X

ROS is not a realtime framework, though it is possible to integrate ROS with realtime code. The Willow Garage PR2 robot uses a system called pr2_etherCAT, which transports ROS messages in and out of a realtime process. ROS also has seamless integration with the Orocos Real-time Toolkit.

Goals

A lot of people ask, 'How is ROS different from X?' where X is another robotics software platform. It's a difficult question to answer as the goal of ROS is not to be a framework with the most features. Instead, the primary goal of ROS is to support code reuse in robotics research and development. ROS is a distributed framework of processes (aka Nodes) that enables executables to be individually designed and loosely coupled at runtime. These processes can be grouped into Packages and Stacks, which can be easily shared and distributed. ROS also supports a federated system of code Repositories that enable collaboration to be distributed as well. This design, from the filesystem level to the community level, enables independent decisions about development and implementation, but all can be brought together with ROS infrastructure tools.

In support of this primary goal of sharing and collaboration, there are several other goals of the ROS framework:

Thin: ROS is designed to be as thin as possible -- we won't wrap your main() -- so that code written for ROS can be used with other robot software frameworks. A corollary to this is that ROS is easy to integrate with other robot software frameworks: ROS has already been integrated with OpenRAVE, Orocos, and Player.
ROS-agnostic libraries: the preferred development model is to write ROS-agnostic libraries with clean functional interfaces.
Language independence: the ROS framework is easy to implement in any modern programming language. We have already implemented it in Python, C++, and Lisp, and we have experimental libraries in Java and Lua.
Easy testing: ROS has a builtin unit/integration test framework called rostest that makes it easy to bring up and tear down test fixtures.
Scaling: ROS is appropriate for large runtime systems and for large development processes.

So, 'How is ROS different from X?' It's hard to answer for every X, but first, if you choose to use X, we hope that you can still use many of the libraries distributed with ROS. As for more specifics, this e-mail by Brian Gerkey (of both Player and ROS) to the ros-users mailing list regarding the differences between ROS and Player, including OpenCV integration, provides some comparisons:

Operating Systems

ROS currently only runs on Unix-based platforms. Software for ROS is primarily tested on Ubuntu and Mac OS X systems, though the ROS community has been contributing support for Fedora, Gentoo, Arch Linux and other Linux platforms.

While a port to Microsoft Windows for ROS is possible, it has not yet been fully explored.

Releases

The core ROS system, along with useful tools and libraries are regularly released as a ROS Distribution. This distribution is similar to a Linux distribution and provides a set of compatible software for others to use and build upon.

Contributing

As ROS is open source, we hope that you will consider contributing to ROS or libraries that are compatible with ROS. Please see our section on Contributing for more information on how you can participate in the ROS community.

ROS Concepts

Templates software