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JetCobot📖
1.Introduction to the Jetcobot
  • 0.Unboxing
  • 1 Version Configuration Instructions
  • 2. Power adapter usage specifications
  • 3. Common Problems and Solutions
  • 4. First-time use instructions
  • 5. Get started
  • 6. Open and close the virtual desktop
2.Assembly and assembly tutorial
  • Installation Video
3.Linux operating system
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
4.Jupyter Lab Basic Course
  • 1. Read the document before operation
  • 2. JupyterLab environment construction tutorial
  • 3. JupyterLab Basic Usage Tutorial
  • 4. JupyterWidgets Configuration Tutorial
  • 5. Getting Started Tutorial for JupyterWidgets Controls
5.Basic courses of main control board
  • 1. Introduction to the main control board
  • 2. Burn the system image
  • 3. Re-read the burned image
  • 4. System startup
  • 5. System and desktop introduction
  • 6. System expansion
  • 7. Network Configuration
  • 8. SSH remote login and file transfer
  • 9. VNC Remote Login
  • 10. System backup
  • 11. Increased swap space
  • 12. Use of Jtop
6.GPIO hardware control course
  • 1.GPIO library API usage
  • 2. Hardware library configuration
  • 3. Pin reading function
  • 4. Pin level output control
  • 5. Control LED
  • 6. External device serial communication
  • 7.I2C communication
7.Jetson-inference vision course
  • 1. Install Jetcam (optional)
  • 2. Install TensorFlow (optional)
  • 3. Jetson-inference environment construction (optional)
  • 4. Hello AI World
  • 5. Image Classification Reasoning
  • 6. Object Detection Reasoning
  • 7. Semantic Segmentation
8.Opencv basic course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Picture cut
  • 8. Picture pan
  • 9. Picture mirroring
  • 10. Affine transformation
  • 11. Picture rotation
  • 12. Perspective transformation
  • 13. Grayscale processing
  • 14. Binary image
  • 15. Edge green detection
  • 16. Line segment drawing
  • 17. Rectangular circle drawing
  • 18. Text and picture drawing
9.ROS Basic Course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
10.ROS+OpenCV course
  • 1.QR code
  • 2.Human pose estimation
  • 3.Target Detection
  • 4.AR vision
  • 5.AR QR code
  • 6.ROS+Opencv basics
  • 7.Face recognition
  • 8.harris corner detection
  • 9.Target tracking algorithm
  • 10.Contour moment
  • 11.Polygon outline
  • 12.Discrete fourier transform algorithm
  • 13.Edge detection algorithm
  • 14.Face detection algorithm
  • 15.Optical flow detection algorithm
  • 16.Contour detection
  • 17.General contour detection
  • 18.Feature point tracking
  • 19.HLS color filtering
  • 20.Hough circle detection
  • 21.Hough linear detection
  • 22.HSV color filtering
  • 23.LK optical flow algorithm
  • 24.Detection algorithm
  • 25.Phase dependent displacement detection
  • 26.Image pyramid sampling algorithm
  • 27.RGB color filtering
  • 28.Clear background detection algorithm
  • 29.Simplified optical flow algorithm
  • 30.Simple filter
  • 31.Threshold image processing
  • 32.Watershed segmentation algorithm
11.Robotic arm control course
  • 1.Send data
  • 2.Read data
  • 3.Control robotic arm joint angle
  • 4.Control coordinates of robotic arm end
  • 5.Control robotic arm posture
  • 6.Handle control robotic arm
  • 7.Calibrate robotic arm joint
  • 8.Calibrate robotic arm gripper
12.AI visual basic ourse
  • 1.Camera driver
  • 2.Block color calibration
  • 3.Color recognition
  • 4.Face detection
  • 5.Gesture recognition
  • 6.Model training
  • 7.Garbage recognition
13.Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Face detection
  • 5.Face recognition
  • 6.Face effects
  • 7.3D object recognition
  • 8.Brush
  • 9.Finger control
  • 10.Gesture recognition
14.AI visual tracking course
  • 1.PID algorithm basics
  • 2.Color block positioning
  • 3.Color block tracking
  • 4.Face positioning
  • 5.Face tracking
  • 6.Fingertip trajectory recognition
  • 7.Mediapipe gesture control robotic arm action group
  • 8.Mediapipe arm posture control robotic arm
  • 9.Mediapipe palm arm target positioning
  • 10.Mediapipe palm recognition and tracking control robotic arm
  • 11.Apriltag tag code recognition
  • 12.Apriltag tag code tracking
  • 13.KCF object tracking
15.AI visual grabbing course
  • 1.Gesture recognition stacking blocks
  • 2.Color recognition grab blocks
  • 3.Apriltag recognition grabbing blocks
  • 4.Catch game
  • 5.Color sorting
  • 6.Color stacking
  • 7.apriltag sorting
  • 8.apriltag stacking
  • 9.Garbage sorting
  • 10.Garbage stacking
  • 11.Color interaction
16.URDF Model course
  • 1.URDF model of the robotic arm
  • 2.URDF model controls the real robotic arm
17.Kinesiology advanced course
  • 1.Movelt configuration
  • 2.MoveIt control the real machine
  • 3.Moves randomly
  • 4.Movelt kinematic design
  • 5.Movelt cartesian path
  • 6.Movelt collision detection
  • 7.Movelt scene design
18.Jetson Orin SUPER -Introduction to the Jetcobotnew
  • 1. Version Configuration Instructionsnew
  • 2. Power adapter usage specificationsnew
  • 3. Common Problems and Solutionsnew
  • 4. First-time use instructionsnew
  • 5. Get startednew
  • 6. Open and close the virtual desktopnew
19.Jetson Orin SUPER -Assembly and assembly tutorial
  • Installation Videonew
20.Jetson Orin SUPER -Linux operating systemnew
  • 1.Introduction to Linux systemnew
  • 2.Ubuntu file systemnew
  • 3.Ubuntu common commandsnew
  • 4.Ubuntu common editorsnew
  • 5.Ubuntu software operation commandsnew
  • 6.Virtual machine installationnew
  • 7.SSH remote controlnew
  • 8.VNC remote controlnew
  • 9.Transfer files remotelynew
  • 10.Driver library and communicationnew
  • 11.Static IP and hotspot modenew
  • 12.Bind device IDnew
  • 13.Capacity expansion and resource allocationnew
  • 14.Update system software sourcesnew
  • 15.Set root user passwordnew
  • 16.sudo free passwordnew
  • 17.Connect to WiFi networknew
  • 18.View system versionnew
  • 19.Customized service managementnew
  • 20.Back up system imagenew
21.Jetson Orin SUPER -Jupyter Lab Basic Course
  • 1. Read the document before operationnew
  • 2. JupyterLab environment construction tutorialnew
  • 3. JupyterLab Basic Usage Tutorialnew
  • 4. JupyterWidgets Configuration Tutorialnew
  • 5. Getting Started Tutorial for JupyterWidgets Controlsnew
22.Jetson Orin SUPER -Basic motherboard usage course
  • 1. Motherboard Introductionnew
  • 2. Restore the factory image systemnew
  • 3. System startupnew
  • 4. System and desktop introductionnew
  • 5.VNC Remote Controlnew
  • 6. System expansionnew
  • 7. Network Configurationnew
  • 8.SSH remote loginnew
  • 9. Remote file transfernew
  • 10. Chinese input methodnew
  • 11. Use of Jtop toolnew
  • 12. Swap space expansionnew
  • 13.Backup SSD systemnew
  • 14.Jetpack old system upgraded to SUPER system
23.Jetson Orin SUPER -GPIO hardware control course
  • 1.GPIO library API usagenew
  • 2.Hardware library configurationnew
  • 3.Pin reading functionnew
  • 4.Pin level output controlnew
  • 5.Control LEDnew
  • 6.External device serial communicationnew
  • 7.I2C communicationnew
24.Jetson Orin SUPER -YOLO11 development
  • 01.YOLO environment constructionnew
  • 02.CLI usenew
  • 03.Object detection
  • 04.Instance segmentationnew
  • 05.Pose estimationnew
  • 06.Image classificationnew
  • 07.Oriented object detectionnew
  • 08.Model conversionnew
  • 09.Dataset annotationnew
  • 10.Model training conversionnew
  • 11.Model predictionnew
25.Jetson Orin SUPER -OpenCV course
  • 1. Introduction to Open Source CVnew
  • 2. Image reading and displaynew
  • 3. Image writingnew
  • 4. Image qualitynew
  • 5. Pixel Operationnew
  • 6. Image zoomnew
  • 7. Picture cutnew
  • 8. Picture pannew
  • 9. Picture mirroringnew
  • 10. Affine transformationnew
  • 11. Picture rotationnew
  • 12. Perspective transformationnew
  • 13. Grayscale processingnew
  • 14. Binary imagenew
  • 15. Edge green detectionnew
  • 16. Line segment drawingnew
  • 17. Rectangular circle drawingnew
  • 18. Text and picture drawingnew
26.Jetson Orin SUPER -ROS2 basic course
  • 1. Introduction to ROS2new
  • 2.ROS2 install Humblenew
  • 3.ROS2 development environmentnew
  • 4.ROS2 workspacenew
  • 5.ROS2 function packagenew
  • 6.ROS2 nodenew
  • 7.ROS2 topic communicationnew
  • 8.ROS2 service communicationnew
  • 9.ROS2 action communicationnew
  • 10.ROS2 custom interface messagenew
  • 11.ROS2 parameter service casenew
  • 12.ROS2 meta-function packagenew
  • 13.ROS2 distributed communicationnew
  • 14.ROS2 DDSnew
  • 15.ROS2 time related APInew
  • 16.ROS2 common command toolsnew
  • 17.ROS2 rviz2 usenew
  • 18.ROS2 rqt toolboxnew
  • 19.ROS2 Launch startup file configurationnew
  • 20.ROS2 recording and playback toolnew
  • 21.ROS2 URDF modelnew
  • 22.ROS2 Gazebo simulation platformnew
  • 23.ROS2 TF2 coordinate transformationnew
27.Jetson Orin SUPER -Advanced vision course
  • 1.QR codenew
  • 2.Human pose estimationnew
  • 3.Target Detectionnew
  • 4.AR visionnew
  • 5.ROS+Opencv Basicsnew
28.Jetson Orin SUPER -Robotic Arm Control Course
  • 1. Sending Datanew
  • 2. Read datanew
  • 3. Control the joint angle of the robotic armnew
  • 4. Control the coordinates of the end of the robot armnew
  • 5. Control the posture of the robotic armnew
  • 6.Handle remote control robotic armnew
  • 7. Calibrate the robot arm jointsnew
  • 8. Calibrate the robot grippernew
29.Jetson Orin SUPER -AI Vision Basic Course
  • 1. Camera drivernew
  • 2. Color threshold adjustment and color block calibrationnew
  • 3. Color recognitionnew
  • 4. Face Detectionnew
  • 5. Gesture Recognitionnew
  • 6. Garbage Identificationnew
30.Jetson Orin SUPER -Mediapipe Development Course
  • 1. Hand detectionnew
  • 2. Posture detectionnew
  • 3. Overall detectionnew
  • 4.FaceMeshnew
  • 5. Face Detectionnew
  • 6. Face effectsnew
  • 7. 3D Object Recognitionnew
  • 8. Brushnew
  • 9. Finger controlnew
  • 10. Gesture Recognitionnew
31.Jetson Orin SUPER -AI visual tracking course
  • 1.PID algorithm basicsnew
  • 2. Color block positioning experimentnew
  • 3. Color block tracking experimentnew
  • 4. Face location experimentnew
  • 5. Face tracking experimentnew
  • 6. Fingertip trajectory recognitionnew
  • 7.Mediapipe gesture control robotic arm action groupnew
  • 8.Mediapipe arm posture control robotic armnew
  • 9. Mediapipe palm arm target positioningnew
  • 10. Mediapipe identifies and tracks your palm to control the robotic armnew
  • 11. Apriltag label code recognitionnew
  • 12. Apriltag label code trackingnew
  • 13.KCF Object Trackingnew
32.Jetson Orin SUPER -AI Visual Capture Course
  • 1. Gesture recognition stacking blocksnew
  • 2. Color recognition grab blocksnew
  • 3. Apriltag recognition and grabbing building blocksnew
  • 4.Catch gamenew
  • 5. Color sortingnew
  • 6. Color stackingnew
  • 7. Apriltag sortingnew
  • 8. Apriltag stackingnew
  • 9. Garbage sortingnew
  • 10. Garbage dumpnew
  • 11.Color interactionnew
33.Jetson Orin SUPER -Robotic Arm URDF Model Course
  • 1. Robotic arm URDF modelnew
  • 2. URDF model controls the real robot armnew
34.Jetson Orin SUPER -Moveit advanced kinematics course
  • 1.Movelt Configurationnew
  • 2. Use of MoveItnew
  • 3. MoveIt drives the real machinenew
  • 4. MoveIt Random Movenew
  • 5.Movelt positive kinematics designnew
  • 6.Movelt inverse kinematics designnew
  • 7.Movelt Cartesian pathnew
  • 8.Movelt scene designnew
  • 9.Movelt Collision Detectionnew
35.FAQnew
  • 1.Using your own Jetson board, JetCobot cannot start normally
Download
  • Instruction_Manual
  • SystemFile_for_NANO4GB
  • SystemFile_For_OrinNANO
  • SystemFile_For_OrinNX
  • VM_File
  • Code
  • 3D Model File
  • Jetson_Boot_USB.tar.gz
  • ROS2_Basic_VM
Download ZIP

Welcome to JetCobot repository

13.ROS custom message reception

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

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/**
* 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.

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#!/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

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#!/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.

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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

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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.

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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

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

13.2.3 Add compilation options to CMakeList.txt

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

13.2.4 Compile function package

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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.

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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

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/*
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

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/**
*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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ROS action server
ROS-launch file

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