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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

8.13 ROS custom message reception

13.ROS custom message reception

Although ros provides us with a variety of message types, sometimes we need to define some data types ourselves to use. Commonly used ros include topic data and service data.This course explains how to customize the interface message type and how to call it in the program.

13.1 Customized topic messages and usage

Generally, we will create a new folder under the function package folder, named msg, to store customized topic messages. Therefore, we will create a new folder msg under the directory of the learn_topic function package and enter it in the terminal.

cd ~/ros_ws/src/learn_topic
mkdir msg

13.1.1 Define msg file

Switch to the msg directory and create a new blank msg file. The suffix msg indicates that it is an msg file. Here we take Information.msg as an example. Copy the following code into the msg file you just created.

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string company
string city

13.1.2 Add function package dependencies in package.xml

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<build_depend>message_generation</build_depend>
<exec_depend>message_runtime</exec_depend>

13.1.3 Add compilation options to CMakeLists.txt

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#Add message_generation to find_package
add_message_files(FILES Information.msg)
generate_messages(DEPENDENCIES std_msgs)

13.1.4 Compile files

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cd ~/ros_ws
catkin_make

After compilation is completed, enter rosmsg show learn_topic/Information to query the customized message type.

image-20231025155312061

When the above screen appears, it means that a custom message type has been generated. Next, let’s see how to use it.

13.1.5 C++ program uses custom topic message type

We write a publisher and a subscriber to use custom topic messages. Create two new files in the src directory of the function package learn_topic. The commands are Information_publisher.cpp and Information_subscriber.cpp respectively. Copy the following codes into them.

Information_publisher.cpp

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/**
* This routine will publish the /company_info topic, the message type is the custom learn_topic::Information
*/
#include <ros/ros.h>
#include "learn_topic/Information.h"
int main(int argc, char **argv)
{
    // ROS node initialization
    ros::init(argc, argv, "company_Information_publisher");
    // Create node handle
    ros::NodeHandle n;
    // Create a Publisher, publish a topic named /company_info, the message type is learn_topic::Person, and the queue length is 10
    ros::Publisher Information_pub = n.advertise<learn_topic::Information>("/company_info", 10);
    // Set the loop frequency
    ros::Rate loop_rate(1);
    int count = 0;
    while (ros::ok())
    {
        // Initialize messages of type learn_topic::Information
        learn_topic::Information info_msg;
        info_msg.company = "Yahboom";
        info_msg.city = "Shenzhen";
        // Release the news
        Information_pub.publish(info_msg);
        ROS_INFO("Information: company:%s city:%s ",info_msg.company.c_str(), info_msg.city.c_str());
        loop_rate.sleep();// Delay according to cycle frequency
    }
    return 0;
}

Information_subscriber.cpp

xxxxxxxxxx
/**
* This routine will subscribe to the /company_info topic and customize the message type learn_topic::Information
*/
#include <ros/ros.h>
#include "learn_topic/Information.h"
// After receiving the subscribed message, the message callback function will be entered to process the data.
void CompanyInfoCallback(const learn_topic::Information::ConstPtr& msg)
{
    // Print received messages
    ROS_INFO("This is: %s in %s", msg->company.c_str(), msg->city.c_str());
}
int main(int argc, char **argv)
{
    ros::init(argc, argv, "company_Information_subscriber");// Initialize ROS node
    ros::NodeHandle n;// Here is the created node handle
    // Create a Subscriber, subscribe to the topic named topic/company_info, and register the callback function CompanyInfoCallback
    ros::Subscriber person_info_sub = n.subscribe("/company_info", 10,CompanyInfoCallback);
    ros::spin();// Loop waiting for callback function
    return 0;
}

Modify the CMakeLists.txt file and add the following content,

​x
add_executable(Information_publisher src/Information_publisher.cpp)
target_link_libraries(Information_publisher ${catkin_LIBRARIES})
add_dependencies(Information_publisher ${PROJECT_NAME}_generate_messages_cpp)

add_executable(Information_subscriber src/Information_subscriber.cpp)
target_link_libraries(Information_subscriber ${catkin_LIBRARIES})
add_dependencies(Information_subscriber ${PROJECT_NAME}_generate_messages_cpp)

Compile the function package and enter it in the terminal,

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cd ~/ros_ws
catkin_make

After the compilation is passed, reopen the two terminals and run Information_publisher and Information_subscriber respectively. Start roscore first and enter in the terminal.

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roscore

Open another terminal,

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rosrun learn_topic Information_publisher

Open another terminal,

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rosrun learn_topic Information_subscriber 

image-20231025161328201

  • Information_publisher, as the publisher, continuously publishes message content to the topic "/company_info" and prints the published message; and Information_subscriber, as the subscriber, also continuously receives the content of the topic "/company_info" and then prints it out in the callback function. .

    So how does the program call custom data? The core parts are as follows:

  • Introduce header files

    xxxxxxxxxx
    #include "learn_topic/Information.h"

    The former learn_topic is the name of the function package, and the latter Information.h is the name of the header file generated by the msg file just created.

  • Use custom message files

    xxxxxxxxxx
    //Define custom message type variables
    learning_topic::Information info_msg; 
    //To copy a defined message, company and city are members of the message
    info_msg.company = "Yahboom";
    info_msg.city = "Shenzhen";
    //Callback function definition data type
    void CompanyInfoCallback(const learning_topic::Information::ConstPtr& msg) 

13.1.6 Python program uses custom message types

In the scripts folder of the function package, create two new files, named Information_publisher.py and Information_subscriber.py, and copy the following codes into them respectively.

xxxxxxxxxx
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import rospy
from learn_topic.msg import Information #Import custom msg
def information_publisher():
    rospy.init_node('information_publisher', anonymous=True)# ROS node initialization
    # Create a Publisher and publish a topic named /company_info. The message type is learn_topic::Information and the queue length is 6.
    info_pub = rospy.Publisher('/company_info', Information, queue_size=6)
    rate = rospy.Rate(10) #Set the loop frequency
    while not rospy.is_shutdown():
    # Initialize messages of type learn_topic::Information
        info_msg = Information()
        info_msg.company = "Yahboom";
        info_msg.city = "Shenzhen";
        info_pub.publish(info_msg)# Release the news
        rospy.loginfo("This is %s in %s.", info_msg.company, info_msg.city)# Print release message
        rate.sleep()# Delay according to cycle frequency
if __name__ == '__main__':
    try:
        information_publisher()
    except rospy.ROSInterruptException:
        pass

Information_subscriber.py

xxxxxxxxxx
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import rospy
from learning_topic.msg import Information #Import custom msg
def CompanyInfoCallback(msg):
    rospy.loginfo("company: name:%s city:%s ", msg.company, msg.city)#Print subscription received information
def Infomation_subscriber():
    rospy.init_node('Infomation_subscriber', anonymous=True)# ROS node initialization
    #Create a Subscriber, subscribe to the topic named /company_info, and register the callback function personInfoCallback
    rospy.Subscriber("/company_info", Information, CompanyInfoCallback)
    rospy.spin()# Loop waiting for callback function
if __name__ == '__main__':
    Infomation_subscriber()

After saving the two files, execution permissions need to be given.

xxxxxxxxxx
cd ~/ros_ws/src/learn_topic/scripts
sudo chmod a+x Information_publisher.py
sudo chmod a+x Information_subscriber.py

Similarly, let's run these two programs to see, first start roscore,

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roscore

Reopen the terminal and enter,

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rosrun learn_topic Information_publisher.py

Enter from another terminal,

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rosrun learn_topic Information_subscriber.py

image-20231025163754902

Python programs do not need to add header files, but they need to import libraries. Please refer to the following content for import and use.

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#Import, learn_topic represents the function package, msg represents the msg folder under the function package, and Infomation represents the name of the custom msg file.
from learn_topic.msg import Information

use

xxxxxxxxxx
info_msg = Information()
info_msg.company = "Yahboom";
info_msg.city = "Shenzhen";

13.2 Customized service messages and usage

Generally, we will create a new folder under the function package folder, named srv, to store customized topic messages. Therefore, we will create a new folder srv under the directory of the learn_service function package and enter it in the terminal.

xxxxxxxxxx
cd ~/ros_ws/src/learn_service
mkdir srv

13.2.1 Define srv file

Switch to the srv directory and create a new blank srv file. The suffix srv indicates that it is an srv file. Here we take IntPlus.srv as an example. Copy the following code into the srv file you just created.

xxxxxxxxxx
uint8 a
uint8 b
---
uint8 result

Here is an explanation of the structure of the srv file, which is divided into upper and lower parts by the symbol ---. The upper part represents the request and the lower part represents the response.

13.2.2 Add function package dependencies in package.xml

xxxxxxxxxx
<build_depend>message_generation</build_depend>
<exec_depend>message_runtime</exec_depend>

13.2.3 Add compilation options to CMakeList.txt

xxxxxxxxxx
#Add message_generation to find_package
add_service_files(FILES IntPlus.srv)
generate_messages(DEPENDENCIES std_msgs)

13.2.4 Compile function package

xxxxxxxxxx
cd  ~/ros_ws
catkin_make

After the compilation is successful, enter the following command in the terminal to check whether a customized service message is generated.

xxxxxxxxxx
rossrv show learn_service/IntPlus

image-20231025170506495

The above screen appears, indicating that a customized service message has been generated. Next, let’s talk about how to use it in the program.

13.2.5 C++ program uses custom topic message type

We write a client and a server to use customized topic messages. Create two new files in the src directory of the function package learn_service. The commands are IntPlus_client.cpp and IntPlus_server.cpp respectively. Copy the following codes into them.

IntPlus_client.cpp

xxxxxxxxxx
/*
This routine will request the /Two_Int_Plus service, service data type learn_service::IntPlus
Add two integers and find the sum
*/
#include <ros/ros.h>
#include "learn_service/IntPlus.h"
#include <iostream>
using namespace std;
int main(int argc, char** argv)
{
    int i,k;
    cin>>i;
    cin>>k;
    ros::init(argc, argv, "IntPlus_client");// Initialize ROS node
    ros::NodeHandle node;// Create node handle
    // After discovering the /Two_Int_Plus service, create a service client
    ros::service::waitForService("/Two_Int_Plus");
    ros::ServiceClient IntPlus_client = node.serviceClient<learn_service::IntPlus>("/Two_Int_Plus");
    // Initialize the request data of learn_service::IntPlus
    learn_service::IntPlus srv;
    srv.request.a = i;
    srv.request.b = k;
    ROS_INFO("Call service to plus %d and %d", srv.request.a, srv.request.b);//Request service call
    IntPlus_client.call(srv);
    // Display service call results
    ROS_INFO("Show the result : %d", srv.response.result);// Display service call results
    return 0;
}

IntPlus_server.cpp

xxxxxxxxxx
/**
*This routine will execute the /Two_Int_Plus service, the service data type learn_service::IntPlus
*/
#include <ros/ros.h>
#include "learn_service/IntPlus.h"
// service callback function, input parameter req, output parameter res
bool IntPlusCallback(learn_service::IntPlus::Request &req,learn_service::IntPlus::Response &res)
{
    ROS_INFO("number 1 is:%d ,number 2 is:%d ", req.a, req.b);// Show request data
    res.result = req.a + req.b ;// The feedback result is the sum of two numbers
    return res.result;
}
int main(int argc, char **argv)
{
    ros::init(argc, argv, "IntPlus_server"); //ROS node initialization
    ros::NodeHandle n;// Create node handle
    // Create a server and register the callback function IntPlusCallback
    ros::ServiceServer Int_Plus_service = n.advertiseService("/Two_Int_Plus",IntPlusCallback);
    // Loop waiting for callback function
    ROS_INFO("Ready to caculate.");
    ros::spin();
    return 0;
}

Modify the CMakeLists.txt file and add the following content,

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add_executable(IntPlus_server src/IntPlus_server.cpp)
target_link_libraries(IntPlus_server ${catkin_LIBRARIES})
add_dependencies(IntPlus_server ${PROJECT_NAME}_generate_messages_cpp)

add_executable(IntPlus_client src/IntPlus_client.cpp)
target_link_libraries(IntPlus_client ${catkin_LIBRARIES})
add_dependencies(IntPlus_client ${PROJECT_NAME}_generate_messages_cpp)

Compile the function package and enter it in the terminal,

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cd ~/ros_ws
catkin_make

After the compilation is passed, reopen the two terminals and run IntPlus_server and IntPlus_client respectively. Start roscore first and enter in the terminal.

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roscore

Then reopen a terminal,

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rosrun learn_service IntPlus_server

image-20231025173344023

Open another terminal and enter,

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rosrun learn_service IntPlus_client

Then enter two numbers in the terminal and press Enter. The server will calculate and return the value. The returned value is printed on the client terminal.

image-20231025173532123

  • IntPlus_serverr serves as the server. After running, it provides the operation of calculating the addition of two int data. When no client calls the service, it will display and print Ready to caculate. When IntPlus_client is run, it will look for /Two_Int_Plus For the service, after entering two int-type data, press Enter to confirm; the server starts computing after receiving the data, and then returns a result to the client, and the client terminal will print out this value. So how does the program call custom data? The core parts are as follows:

  • Introduce header files

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    #include "learn_service/IntPlus.h"

    The former learn_service is the name of the function package, and the latter IntPlus.h is the name of the header file generated by the srv file just created.

  • Use custom service files

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    client:
    learning_server::IntPlus srv;
    srv.request.a = i;
    srv.request.b = k;
    #i, k is the addend input by the terminal
    ros::ServiceClient IntPlus_client = node.serviceClient<learning_server::IntPlus>
    ("/Two_Int_Plus");
    IntPlus_client.call(srv);
    server:
    ros::ServiceServer Int_Plus_service = n.advertiseService("/Two_Int_Plus",IntPlusCallback);
    bool IntPlusCallback(learning_server::IntPlus::Request &req,learning_server::IntPlus::Response &res)
13.2.6 Python program uses custom message types

In the scripts folder of the function package, create two new files, named IntPlus_client.py and IntPlus_server.py, and copy the following codes into them respectively.

IntPlus_client.py

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import rospy
from learn_service.srv import IntPlus, IntPlusRequest
def Plus_client():
    #ROS node initialization
    rospy.init_node('IntPlus_client')
    rospy.wait_for_service('/Two_Int_Plus')
    try:
        Plus_client = rospy.ServiceProxy('/Two_Int_Plus', IntPlus)
        response = Plus_client(22, 20)# Request service call, enter request data
        return response.result
    except rospy.ServiceException as e:
        print ("failed to call service : %s"%e)
if __name__ == "__main__":
    #Call the service and display the call results
    print ("Show two_int_plus result : %s" %(Plus_client()))

IntPlus_server.py

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import rospy
from learn_service.srv import IntPlus, IntPlusResponse
def IntPlusCallback(req):
    rospy.loginfo("Ints: a:%d b:%d", req.a, req.b)# Show request data
    return IntPlusResponse(req.a+req.b)# feedback data
def IntPlus_server():
    rospy.init_node('IntPlus_server')# ROS node initialization
    # Create a server and register the callback function IntPlusCallback
    s = rospy.Service('/Two_Int_Plus', IntPlus, IntPlusCallback)
    print ("Ready to caculate two ints.")# Loop waiting for callback function
    rospy.spin()
if __name__ == "__main__":
    IntPlus_server()

After saving the two files, execution permissions need to be given.

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cd ~/ros_ws/src/learn_topic/scripts
sudo chmod a+x IntPlus_client.py
sudo chmod a+x IntPlus_server.py

Similarly, let's run these two programs to see, first start roscore,

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roscore

Open another terminal and enter,

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rosrun learn_service IntPlus_server.py

Open another terminal and enter,

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rosrun learn_service IntPlus_client.py

The effect is half that of the C++ version, but there is no need to enter numbers after running IntPlus_client.py here. 22 and 20 have been specified in the program. After finding the service, the server directly calculates the result, and then returns it to the client for display.

image-20231025182550348

Python programs do not need to add header files, but they need to import libraries. Please refer to the following content for import and use.

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#server
from learning_server.srv import IntPlus, IntPlusResponse
#client
from learning_server.srv import IntPlus, IntPlusRequest

use,

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#server
s = rospy.Service('/Two_Int_Plus', IntPlus, IntPlusCallback)
return IntPlusResponse(req.a+req.b)#feedback data
#client
response = Plus_client(12, 20)# Request service call, enter request data
return response.result

 

ROS action server
ROS-launch file

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