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ROSMASTER X3 Plus📖
1.Preparation and First Trial
  • 1.1 Wiring Introduction
  • 1.2 Precautions for battery
  • 1.3 First Trial
  • 1.4 Precautions for DIY Robotic Arm
2. Assembly steps
  • Installation Video
3.Remote control course
  • 3.1 APP remote control
  • 3.2 Model aircraft remote control
  • 3.3 Handle remote control
4.Hardware course
  • 4.1 About expansion board_V3.0
  • 4.1 About expansion board_V1.0
  • 4.2 STM32 Development
  • 4.3 Button to control the buzzer
  • 4.4 FreeRTOS application
  • 4.5 Serial communication
  • 4.6 SBUS model aircraft remote control
  • 4.7 CAN bus communication
  • 4.8 RGB colorful light bar
  • 4.9 Timer interrupt to control
  • 4.10 Control serial port servos
  • 4.11 Nine-axis attitude sensor
  • 4.12 Control motor
  • 4.13 Timer captures the encoder data
  • 4.14 Kinematic Analysis
  • 4.15 PID control robot movement
5.Basic course
  • 5.1 Update the firmware
  • 5.2 Turn off the self-starting process
  • 5.3 Install the Rosmaster driver
  • 5.4 Buzzer whistle
  • 5.5 Control PWM servo
  • 5.6 RGB colorful light bar
  • 5.7 Control motor
  • 5.8 Control robot movement
  • 5.9 Control Serial Servo
6.Linux operating system
  • 6.1 Virtual machine installation
  • 6.2 Linux basics
  • 6.3 Remote control
  • 6.4 Multi-machine communication
  • 6.5 Static IP and hotspot mode
  • 6.6 Bind the device ID
  • 6.7 Web page real-time monitor
  • 6.8 Expansion tutorial
  • 6.9.1 Jetson Nano write sytem
  • 6.9.2 Jetson Xavier NX write system
  • 6.9.3 Jetson TX2 NX write system
  • 6.9.4 Raspberry Pi write system
7.Docker-Just for pi5
  • 7.1 Docker overview and docker installation
  • 7.2 Common commands for docker image containers
  • 7.3 Docker images deeply understand and publish images
  • 7.4 Docker hardware interaction and data processing
  • 7.5 Enter the bot's docker container
  • 7.6 Robot development environment construction in Docker
  • 7.7 How customers can update docker images in the future
8.ROS basic course
  • 8.1 ROS introduction
  • 8.2 ROS installation
  • 8.3 ROS common command tools
  • 8.4 ROS workspace
  • 8.5 ROS function package
  • 8.6 ROS node
  • 8.7 ROS topic publisher
  • 8.8 ROS topic subscribers
  • 8.9 ROS service client
  • 8.10 ROS service server
  • 8.11 ROS action client
  • 8.12 ROS action server
  • 8.13 ROS custom message reception
  • 8.14 ROS-launch file
  • 8.15 ROS-TF transformation
  • 8.16 ROS parameter service
  • 8.17 ROS-rviz use
  • 8.18 ROS-rqt tool usage
  • 8.19 Topic message recording and playback
  • 8.20 urdf model introduction
  • 8.21 gazebo introduction
  • 8.22 ROS distributed communication
9.OpenCV courses
  • 9.1 Getting started with Open Source CV
  • 9.2 Geometric transformation
  • 9.3 Image processing and draw
  • 9.4 Image beautification
  • 9.5 Opencv application
  • 9.6 AR vision
  • 9.7 AR QR code
  • 9.8 ROS+Opencv foundation
  • 9.9 ROS+Opencv application
  • 9.10 Data transformation
  • 9.11 MediaPipe development
10.Robot control course
  • 10.1 PID algorithm theory
  • 10.2 Robot PID debugging
  • 10.3 Robot information release
  • 10.4 Robot keyboard control
  • 10.5 Robot handle control
  • 10.6 Robot state estimation
  • 10.7 Robot calibration
  • 10.8 Robot URDF model
11.Depth camera course
  • 11.1 How to use the Astra camera
  • 11.2 Astra camera calibration
  • 11.3 Astra Color Tracking
  • 11.4 Astra Object Tracking
  • 11.5 Visual tracking autopilot
  • 11.6 Pure visual 2D mapping
  • 11.7 RTAB-Map 3D mapping
  • 11.8 ORB_SLAM2 basics
  • 11.9 ORB_SLAM2_Octomap
12.Lidar course
  • 12.1 Lidar basic-SLAM
  • 12.1 Lidar basic-EAI
  • 12.2 Lidar avoiding
  • 12.3 Lidar guard
  • 12.4 Lidar follow
  • 12.5 Patrol game
  • 12.6 gmapping mapping algoritm
  • 12.7 hector mapping algorithm
  • 12.8 karto mapping algorithm
  • 12.9 cartographer mapping
  • 12.10 rrt_exploration mapping
  • 12.11 AMCL
  • 12.12 Navigation and avoiding
  • 12.13 APP mapping and navigation
13.Multi-robot control course
  • 13.1 Multi-machine handle control
  • 13.2 Multi-machine navigation
  • 13.3 Multi-machine formation
  • 13.4 Multi-machine surround
14.Deep learning courses
  • 14.1 KNN recognizes handwritten
  • 14.2 Basic use of TensorFlow
  • 14.3 Basic use of PyTorch(jetson)
  • 14.4 yolov5 model training(jetson)
  • 14.5 yolov5+tensorrt acceleration
  • 14.6 yolov4-tiny
15.Voice control courses
  • 0. How to use old voice module in new image
  • 15.1 Introduction of voice control-new
  • 15.2 Voice control module port-new
  • 15.3.Introduction of voice module-old
  • 15.4.Voice control module port binding-old
  • 15.5 Voice control car movement
  • 15.6 Voice control Autopilot
  • 15.7 Voice control color recogzition
  • 15.8 Voice control color tracking
  • 15.9 Voice control multi-point nagavation
16.Robotic arm control course
  • 16.1 MoveIt configuration
  • 16.2 MoveIt control the real machine
  • 16.3 MoveIt moves randomly
  • 16.4 MoveIt kinematics design
  • 16.5 MoveIt cartesian path
  • 16.6 MoveIt avoiding
  • 16.7 MoveIt scene design
  • 16.8 MoveIt trajectory planning
  • 16.9 Mediapipe palm control car
  • 16.10 Mediapipe gesture control robotic arm
  • 16.11 Mediapipe gesture control car
  • 16.12 Mediapipe arm attitude control robotic arm
  • 16.13 Mediapipe recognizes and tracks palm control robotic arm
  • 16.14 Recognizes color block and handling
  • 16.15 Autopilot to clear obstacles
17.Voice control robotic arm course
  • 17.1 Voice control robotic arm movement
  • 17.2 Voice control robotic arm learning
  • 17.3 Voice control color block transport
  • 17.4 Voice control robotic arm grip objects
  • 17.5 Voice control robotic arm garbage sorting
18.Model training Autopilot
  • 18.0 ReadMe
  • 18.1 yolov5 to train traffic signs
  • 18.2 TensorRt acceleration identification mark
  • 18.3 Road sign indication function description
  • 18.4 Collect data
  • 18.5 Training model
  • 18.6 Model transformation and application
  • 18.7 AI Autopilot
19.For Orin-Remote control course
1. APP control
  • 1. APP control
  • 2. Model aircraft control
  • 3. Handle control
2. Model aircraft control
3. Handle control
20.Orin-Hardware course
  • 1. About expansion board_V1.0
  • 1. About expansion board_V2.0
  • 2. STM32 Development environment
  • 3. Button control
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model aircraft remote control
  • 7. CAN bus communication
  • 8. RGB colorful light bar
  • 9. Timer interrupt to control PWM servo
  • 10. Control serial port servos
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor
  • 13. Timer captures the encoder data
  • 14. Robot kinematics analysis theory
  • 15. PID control robot movement
21.Orin-Basic course
  • 1. Update the firmware
  • 2. Turn off the self-starting process at startup
  • 3. Install the Rosmaster driver library
  • 4. Buzzer whistle
  • 5. Control PWM servo
  • 6. RGB colorful light bar special effects display
  • 7. Control motor
  • 8. Control robot movement
  • 9. Control Serial Servo
22.Orin-Linux operating systemnew
  • 1. Virtual machine installation and use
  • 2. Linux basics
  • 3. Remote control
  • 4. Multi-machine communication configuration
  • 5. Static IP and hotspot mode
  • 6. Bind the device ID
  • 7. Web page real-time monitoring
  • 8. Expansion tutorial
  • 9.1 Jetson Nano write sytem
  • 9.2 Jetson Xavier NX write system
  • 9.3 Jetson TX2 NX-Orin series write system
  • 9.4 Raspberry Pi write system
  • 10.Jetpack old system upgraded to SUPER system
23.Orin-Dockernew
SUPER image uses ros environment in docker
  • 1、Docker overview and docker installationnew
  • 2、Common commands for docker image containersnew
  • 3、Docker images deeply understand and publish imagesnew
  • 4、Docker hardware interaction and data processingnew
  • 5、Enter the bot's docker containernew
  • 6、Robot development environment construction in Dockernew
23.Orin-ROS basic course
  • 1.ROS introduction
  • 2.Project file structure
  • 3.Common commands and tools
  • 4.Publisher
  • 5.Subscribers
  • 6.Customize topic messages and use
  • 7.Client
  • 8.Server
  • 9.Custom service messages and usage
  • 10.TF release and monitoring
24.Orin-OpenCV courses
  • 1. Getting started with Open Source CV
  • 2. Open Source CV geometric transformation
  • 3. Open Source CV image processing and drawing text line segments
  • 4. Open Source CV image beautification
  • 5. Opencv application
  • 6. AR vision
  • 7. AR QR code
  • 8. ROS+Opencv foundation
  • 9. ROS+Opencv application
  • 10. Data transformation and point cloud
  • 11. MediaPipe development
25.Orin-Robot control course
  • 1.PID algorithm theory
  • 2.Robot PID debugging
  • 3.Robot information release
  • 4.Robot keyboard control
  • 5.Robot handle control
  • 6.Robot state estimation
  • 7.Robot calibration
  • 8.Robot URDF model
26.Orin-Depth camera course
  • 01.How to use the Astra camera
  • 02.Astra camera calibration
  • 03.Astra Color Tracking
  • 04.Astra Object Tracking
  • 05.Visual tracking autopilot
  • 06.Pure visual 2D mapping and navigation
  • 07.RTAB-Map 3D mapping navigation
  • 08.ORB_SLAM2 basics
  • 09.ORB_SLAM2_Octomap
27.Orin-Lidar course
  • 1.Lidar basic-4ROS-EAI
  • 1.Lidar basic-SLAM
  • 2.Lidar avoiding
  • 3.Lidar guard
  • 4.Lidar follow
  • 5.Patrol game
  • 6.gmapping mapping algorithm
  • 7.hector mapping algorithm
  • 8.karto mapping algorithm
  • 9.cartographer mapping algorithm
  • 10.rrt_exploration mapping algorithm
  • 11.AMCL
  • 12.Navigation and avoiding
  • 13.APP mapping and navigation
28.Orin-Multi-robot control course
  • 1.Multi-machine handle control
  • 2.Multi-machine navigation
  • 3.Multi-machine formation
  • 4.Multi-machine surround
29.Orin-Deep learning courses
  • 1.KNN recognizes handwritten digits
  • 2.Basic use of TensorFlow
  • 3.Basic use of PyTorch(jetson)
  • 4.YOLOv11Model conversion(SUPER)new
  • 5.YOLOv11Dataset annotation(SUPER)new
  • 6.YOLOv11Model conversion + tensorrt acceleration(SUPER)new
  • 7.YOLOv11Object recognition(SUPER)new
30.Orin-Voice control courses
  • 0. How to use old voice module in new image
  • 1.1 Introduction of voice module-new
  • 1.2 Introduction of voice module-old
  • 2.1 Voice control module port binding-new
  • 2.2 Voice control module port binding-old
  • 3. Voice control car movement
  • 4. Voice control Autopilot
  • 5. Voice control color recognition
  • 6. Voice control color tracking
  • 7. Voice control multi-point navigation
31.Orin-Robotic arm control course
  • 1.MoveIt configuration(VM)
  • 2.MoveIt control the real machine(VM)
  • 3.MoveIt moves randomly(VM)
  • 4.MoveIt kinematics design(VM)
  • 5.MoveIt cartesian path(VM)
  • 6.MoveIt avoiding(VM)
  • 7.MoveIt scene design(VM)
  • 8.MoveIt trajectory planning(VM)
  • 9.Mediapipe palm control car
  • 10.Mediapipe gesture control robotic arm
  • 11.Mediapipe gesture control car
  • 12.Mediapipe arm attitude control robotic arm
  • 13.Mediapipe recognizes and tracks palm control robotic arm
  • 14.Recognizes color block and handling
  • 15.Autopilot to clear obstacles
32.Orin-Voice control robotic arm course
  • 1.Voice control robotic arm movement
  • 2.Voice control robotic arm learning
  • 3.Voice control color block transport
  • 4.Voice control robotic arm grip objects
  • 5.Voice control robotic arm garbage sorting
LLM tutorial
1.Development environment
  • 0. Model usage instructions
  • 1.Environments deployment
  • 2.Dialogue platform installation
2.Jetson Nano B01
  • 1.Qwen2 model
  • 2.TinyLlama model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.Orca Mini model
  • 6.StarCoder2 model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA-Phi3
3.Jetson Orin NXNANO
  • 1.Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Codellama model
  • 7.DeepSeek-R1 model
  • 8.Orca Mini model
  • 9.StarCoder2 model
  • 10.TinyLlama model
  • 11.Expand LLaVA
  • 12.Expand LLaVA-Phi3
4.Raspberry Pi 5B
  • 1.Meta AI Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Meta AI Codellama model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA
FAQ
  • Using your own Jetson board, car cannot start normally
Download
  • RemoteCtrl_APP(iOS/Android)
  • Mapping_APP(iOS_Android)
  • SystemFile_OrinNANOSUPER
  • SystemFile_OrinNXSUPER
  • SystemFile_RPi_NANO
  • Instruction Manual
  • Code
  • Autopilot Annex
  • VM software
  • Jetson_Boot_USB.tar.gz
  • Other_Annex_File
Download ZIP
FAQ
  • 1、How to connect OLED?
  • 2、Precautions for DIY Robotic Arm

Welcome to ROSMASTER X3 Plus repository

8.14 ROS-launch file

14.ROS-launch file

This course will explain the commonly used launch files in the ros system, talk about the concept of launch files and how to write launch files.

14.1 launch file

The launch file is a file provided by ROS for starting multiple nodes. The format is XML format. It can make the process of starting multiple ROS nodes simple. It also simplifies the process of parameter setting by the ROS parameter server.The file name ends with .launch. As mentioned before, generally, we will create a folder named launch under the path of the function package to store the delaunch files belonging to the function package.

14.1.1 roslaunch

Run the launch file. ROS provides the roslaunch tool. Unlike rosrun, roslaunch can start multiple nodes at the same time. You only need to write multiple nodes into the running launch file. The command to start roslaunch is as follows, enter in the terminal,

roslaunch <pkg_name> <launch_file_name>

pkg_name: represents the name of the function package. According to the actual situation, change it to the name of the function package where the launch file is located;

launch_file_name: Indicates the file name of the launch file that needs to be launched.

14.2 Write launch file

14.2.1 Launch file of a single node

The format of the launch file is in XML format, and it needs to have a root element. The root element of the launch file is a pair of , and appears at the beginning of the launch file. appears at the end of launch,

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<launch>
...
...
</launch>

The launch file starts the node program, so the core is one or more nodes. Each node represents the started node program. A node startup must include the following points:

  • pkg: the name of the function package where the node is located
  • type: the name of the executable program running the node
  • name: The name of the node does not have to be the same as the name of the node defined in the program, it can be named arbitrarily

A necessary node element in the launch file has the following format:

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<node pkg="pkg_name" type="excutable_name" name="node_name"/>

Note that the last / is essential, of course, you can also write,

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<node 
    pkg="pkg_name" type="excutable_name" name="node_name">
</node>

We use the following command to create a function named learn_launch in the ros_ws/src directory and enter it in the terminal,

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cd ~/ros_ws/src/
catkin_create_pkg learn_launch std_msgs rospy roscpp

image-20231024114413619

Then in the learn_launch directory, create a new folder named launch and enter in the terminal,

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cd ~/ros_ws/src/learn_launch
mkdir launch

Go back to the workspace directory to compile,

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cd ~/ros_ws
catkin_make

Then create a new file in the launch folder, the file name is turtle_node.launch, and put the following content into it,

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<launch>
    <node pkg="turtlesim" type="turtlesim_node" name="turtle"/>  
</launch>

Exit after saving, then run the launch file and enter in the terminal,

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roslaunch learn_launch turtle_node.launch

image-20231024115704156

As shown in the picture above, after launch is run, roscore will be automatically turned on, and then the baby turtle program will be run to generate a baby turtle.

14.2.2 Launch files of multiple nodes

We write a launch file. This launch file starts two nodes, one is the node that generates the little turtle, and the other is the node that runs the keyboard to control the little turtle. In the launch folder, create a new file named turtle_ctrl.launch and copy the following content into it,

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roslaunch learn_launch turtle_ctrl.launch

image-20231024121142486

After running, click on the terminal interface and press the up, down, left and right keys on the keyboard to control the movement of the turtle. We can use the rosnode list command to see which nodes are currently running, and enter in the terminal,

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rosnode list

image-20231024121349919

/turtle and /turtle_ctrl are the corresponding turtle nodes and control nodes, and the corresponding names are the value of node's name in the launch file code.

14.2.3 Load and run the launch file in the launch file

In the launch file, you can not only run the node, but also load and run the launch file, that is, nested use. The tag needed here is . The commonly used format is,

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<include file=”$(find package_name)/launch/launch_file_name”/>

package_name: Indicates the function package where the launch file is located

launch_file_name: Indicates the file name of the launch file that needs to be run.

We create a new file and name it listen_turtle_pose.launch. This program implements the following functions: after the program is run, a small turtle will be generated, and the terminal will print out the xy coordinates of the small turtle;Click on the terminal, we control the little turtle through keyboard control, and when the little turtle moves, the terminal will print out the xy coordinates of the little turtle in real time. Copy and paste the following content into the listen_turtle_pose.launch file,

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<launch>
    <include file="$(find learn_launch)/launch/turtle_ctrl.launch"/>
    <node pkg="learn_topic" type="turtle_pose_subscriber" name="turtle_pose" output="screen"/>  
</launch>

Here, a parameter output is added when node is started, because we want to print this information on the terminal.So it is output to the screen screen and there are two values: log is output to the log, and none has no output.

image-20231024140845875

14.2.4 launch file loading parameters

In the launch file, there are two variables representing parameters, namely arg and param. Their meanings are as follows:

  • arg

    Used for parameterized parameters, different parameter values can be passed in at startup, including the following two parts:

    • name:the name of the parameter
    • default:the default value of the parameter

    When used, the format is as follows:

    xxxxxxxxxx
    <arg name="arg_name" default="default_value"/>
  • param

    Used to set parameters in the parameter server (Parameter Server), including the following two parts:

    • name:the name of the parameter
    • value:the value of the parameter

    When used, the format is as follows:

    xxxxxxxxxx
    <param name="parameter_name" value="parameter_value"/>

Summary: arg is used in the launch file and can be flexibly configured. The value of arg can be used as the value of param; param is used in the parameter server of the node, that is, used in the node program. The parameter server will be mentioned in the following tutorials.

To give an example of how to use these two, create a launch file in the launch folder and name it set_backgroud_color.launch.After this program is started, the color of the background plate that generates the little turtle will be modified according to the parameters we set. Copy the following content to the set_backgroud_color.launch file,

xxxxxxxxxx
<launch>
    <arg name="r_value" default="100"/>
    <arg name="g_value" default="0"/>
    <arg name="b_value" default="100"/>
    <node pkg="turtlesim" type="turtlesim_node" name="turtle">
        <param name="/background_r" value="$(arg r_value)"/>  
        <param name="/background_g" value="$(arg g_value)"/> 
        <param name="/background_b" value="$(arg b_value)"/> 
    </node>
</launch> 

Save and exit, then enter in the terminal,

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roslaunch learn_launch set_backgroud_color.launch

image-20231024144835497

The color of the background plate becomes the color with the rgb value we set as (100, 0, 100). We can also modify the rgb value on the command line during startup, as long as we bring parameters, for example, terminal input,

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roslaunch learn_launch set_backgroud_color.launch b_value:=2

image-20231024145105126

It can be seen that when we start the command, we change the value of b_value to 2 and then pass it in. How are the parameters passed here? In the node tag, we set three parameters, namely /background_r, /background_g and /background_b. Their value values are $(arg r_value), $(arg g_value) and $(arg b_value) respectively;Let’s look at the default values of r_value, g_value and b_value, which are 100, 0 and 100 respectively in the arg tag above. This is very clear: We define the value in arg, and then pass the value defined in arg to the value in param.Just add $(arg g_value) when quoting. Of course, you don’t have to, that is, write In this case, the parameter value of /background_g is fixed at 255.

14.2.5 Launch file remaps topic name

In the actual development process, the original preset topic names often need to be modified based on the topic names of other nodes. Source code modification is troublesome. The C++ version of the code still needs to be compiled after modification, which is more troublesome.But in the launch file, you can use the tag to remap the topic name and map the preset topic name to other ones. The usage is as follows:

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<remap from="original_topic" to="remapped_topic" />

original_topic: the topic name set in the original node program

remapped_topic: mapped topic name

Here is an example of how to use the tag. Create a new file in the launch folder and name it remap_topic.launch. After the program is run, the speed control topic name of the little turtle will be changed to the set topic name.Let’s take a look at what the original one is. First start the little turtle and enter it in the terminal.

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roslaunch learn_launch turtle_node.launch

After running successfully, enter rostopic list to see, enter in the terminal,

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rostopic list

image-20231024153247086

The speed control topic at this time is /turtle1/cmd_vel, paste the following code into remap_topic.launch,

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<launch>
    <node pkg="turtlesim" type="turtlesim_node" name="turtle">
        <remap from="/turtle1/cmd_vel" to="/ctrl_vel"/>
    </node>  
</launch>

Exit after saving, close the original Little Turtle launch, and enter in the terminal,

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roslaunch learn_launch remap_topic.launch

After running successfully, enter rostopic list to see, enter in the terminal,

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rostopic list

image-20231024154251011

At this time, the original /turtle1/cmd_vel is gone and mapped to /ctrl_vel. This is because we remapped the topic in the launch file.

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<remap from="/turtle1/cmd_vel" to="/ctrl_vel"/>

14.2.6. Use conditional statements in launch files

In the launch file, we can add conditional judgment to select the node program to start. The conditional judgment is controlled by if and unless in the launch file. Specific usage examples are as follows:Create a new file in the launch folder and name it condition_ctrl_turtle.launch. After the program is run, based on the actual parameters, determine whether to start the keyboard control node to control the turtle. Copy the following content to condition_ctrl_turtle.launch.

xxxxxxxxxx
<launch>
    <arg name="ctrl_node" default="true"/>
    <node pkg="turtlesim" type="turtlesim_node" name="turtle"/>  
    <node pkg="turtlesim" type="turtle_teleop_key" name="turtle_ctrl" if="$(eval arg('ctrl_node') == true)"/>
</launch>

After saving, exit and enter the following command to run,

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roslaunch learn_launch condition_ctrl_turtle.launch

After the program is running, we enter rosnode list to see which nodes are started.

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rosnode list

image-20231024163418844

As you can see, we have started the control node of the little turtle. If we click on the launch terminal, we can use up, down, left, and right to control the movement of the little turtle. Let's try setting the parameter ctrl_node to false, close the launched launch file, and enter in the terminal,

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roslaunch learn_launch condition_ctrl_turtle.launch ctrl_node:=false

After the program is running, we enter rosnode list to see which nodes are started.

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rosnode list

image-20231024163828575

The query found that the control node is not running, because the if judgment is that the keyboard control program is started when the parameter ctrl_node is true.

xxxxxxxxxx
<node pkg="turtlesim" type="turtle_teleop_key" name="turtle_ctrl" if="$(eval arg('ctrl_node') == true)"/>

The judgment inside if is true, and the judgment inside unless is false

14.2.7 Using namespace in launch file

There is a concept of group in the launch file, the label is , which can organize the specified node nodes and put several nodes into the same namespace. Namespace is a namespace, which is used to avoid name conflicts. The same node name is not allowed in the ros system. For example, if we want to open two little turtle nodes in a terminal, if there is no namespace and we start them directly, conflicts will occur and the program will exit. Therefore, we need to add the command space namespace to the launch file. , which is equivalent to adding another identifier before the same node to distinguish the two nodes.

In the group, add the namespece parameter, which means that the namespace is added in front of all nodes in the group. The format used is as follows:

xxxxxxxxxx
<group ns="namespace">
 
<node pkg=".." .../>
 
</group>

Change the namespace to custom content. For example, create a new launch file under the launch file and name it group_turtle.launch. Copy the following content to group_turtle.launch.

xxxxxxxxxx
<launch>
    <group ns="robot1">
        <node pkg="turtlesim" type="turtlesim_node" name="turtle"/>  
    </group>
    <group ns="robot2">
        <node pkg="turtlesim" type="turtlesim_node" name="turtle"/>  
    </group>
</launch>

Save and exit. After the program runs, two windows will open and two turtles will be generated respectively.

image-20231024172631031

Enter rosnode list to query the currently running node information.

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rosnode list

image-20231024172812732

The query found that the nodes with two little turtles are /robot1/turtle and /robot2/turtle. The names of these two nodes are preceded by /robot1 and /robot2 respectively to distinguish the two nodes.Let's take a look at the topic again and enter rostopic list to query the current topic.

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rostopic list

image-20231024173122075

The query revealed that /robot1 and /robot2 were also added as distinctions. We added ns to group to add namespaces before all node names.

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<group ns="robot1">
<group ns="robot2">

 

ROS custom message reception
ROS-TF transformation

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