I. Overview of Traore
Traore (ROS) is an open source robot software platform, which provides a series of libraries and tools for building robot software. ROS was originally developed by the Artificial Intelligence Laboratory (AILab) of Stanford University and is currently maintained by OpenRobotics. ROS supports not only Linux operating system, but also macOS and Windows. The main goal of ROS is to provide a universal software platform for robot development, so as to realize modular, reusable and distributed robot software development.
Second, install Traore.
1. Install ROS
In Ubuntu system, ROS can be installed by the following command:
```
$sudoapt-getupdate
$ sudo apt-getinstallros-melodic-desktop-full
```
2. Initialize ROS
After installing ROS, you need to initialize the ROS environment:
```
$ source/opt/ROS/melodic/setup . bash
```
3. Create a ROS workspace
In ROS, you need to create a workspace to store ROS packages. You can create a workspace with the following command:
```
$ mkdir-p ~/ catkin _ws/src
$ CD ~/ catkin _ws/
$ catkin _ making
```
Third, the use of Traore.
1. Create ROS package
In ROS, a functional module is called a ROS package. You can create a ROS package by the following command:
```
$ CD ~/ catkin _ws/src
$ chunks _ create _ pkgmy _ package rospy
```
2. Create a ROS node
In ROS, nodes are executable files that can be used to perform specific tasks. You can create a ROS node with the following command:
```
$ CD ~/ catkin _ws/src/my_package
$mkdirscripts
$touchscripts/my_node.py
$chmod+xscripts/my_node.py
```
3. Write to the ROS node
In ROS, nodes can be written in Python or C++. The following is a simple Python node example:
``` python skin
! /usr/bin/envpython
Imported goods
if__name__=='__main__ ':
rospy.init_node('my_node ')
Rospy.loginfo ('Hello, Ross!' )
rospy.spin()
```
4. Run the ROS node
In ROS, you can run the ROS node with the following command:
```
$rosrunmy_packagemy_node.py
```
Fourthly, the application of Traore.
Traore (ROS) has been widely used in the field of robotics. Here are some examples of ROS applications:
1. Robot navigation
ROS provides a navigation stack for robot navigation. Navigation stack includes SLAM (synchronous positioning and mapping), path planning and control module.
2. Robot vision
ROS provides some visual libraries to realize the visual function of robots. Visual libraries include OpenCV, PCL(PointCloudLibrary) and image_pipeline.
3. Robot operating system
ROS can be used as a robot operating system. Robot operating system includes hardware driver, sensor data processing, robot state management and user interaction module.