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Minggang Wang
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Correct the address of the actionlib tutorial
Fix #NONE
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README.md

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@@ -28,6 +28,7 @@ Alternatively, you can download the latest binary package of ROS2 from [here](ht
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* [Windows](https://github.com/ros2/ros2/wiki/Windows-Install-Binary)
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### Install `Node.js`
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**Notice:**
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`rclnodejs` use some new feature of ECMAScript 6, we recommend using the latest LTS Node.js. The lowest LTS Node.js we used to verify the unit tests is `6.10.0`. Your Node.js version should not be lower than this verion.
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```
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## Build Module
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Before you build the module, you should make sure the ROS2 environments were loaded. You can check if the `AMENT_PREFIX_PATH` environment variable was set:
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* For Windows: `echo %AMENT_PREFIX_PATH%` in the command prompt.
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* For Windows, open the command prompt and run
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```
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```bash
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call <path\to\ros2>\install\local_setup.bat
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```
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```
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* For Linux and macOS, open the terminal and run:
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```
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```bash
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source <path/to/ros2>/install/local_setup.bash
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```
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```
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This `Node.js` module is built by [node-gyp](https://www.npmjs.com/package/node-gyp), all you have to do is just to run the following command:
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**Windows-specific**: make sure Python 2.x interpreter is first searched in your `PATH` before running the command. You can change it temporarily by:
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```
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```bash
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set PATH=<path\to\python 2.x>;%PATH%
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```
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```
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## Run Unit Test
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```
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**Windows-specific**: the tests requires in a `Microsoft Visual Studio Native Tools command prompt`, and also make sure Python 3.x interpreter is first searched in your `PATH` before running te test. You can change it temporarily by:
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```
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```bash
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set PATH=<path\to\python 3.x>;%PATH%
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```
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```
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## How To Use
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## Experimental
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- [actionlib](https://github.com/RobotWebTools/rclnodejs/blob/actionlib/tutorials/actionlib.md)
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* [actionlib](https://github.com/RobotWebTools/rclnodejs/blob/develop/tutorials/actionlib.md)
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## Get Involved
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## Contributing
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### Contributing
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If you want to contribute code to this project, first you need to fork the
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project. The next step is to send a pull request (PR) for review. The PR will be reviewed by the project team members. Once you have gained "Look Good To Me (LGTM)", the project maintainers will merge the PR.

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