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Transbot SE📖
01.Introduction to Transbot SE
  • 01. Introduction to Transbot SE
  • 02. Precautions for use and battery safety
  • 03. First Trial
02.First Trial
  • 2.1.APP control
  • 2.2.USB wireless handle control(Optional)
  • 2.3.Handle video control Transbot(Optional)
  • 2.4.Network configuration tutorial in hotspot mode
03.Hardware control course
  • 3.1About expansion board and update firmware
  • 3.2.Close self-starting process
  • 3.3.Install Transbot library
  • 3.4.Control buzzer and button
  • 3.5.Control PWM servo
  • 3.6.Control bus servo
  • 3.7.Control motor
  • 3.8.Control robot movement
04.Linux operating system
  • 1. Virtual machine installation and use
  • 2. Linux basics
  • 3. Remote control
  • 4. Multi-machine communication configuration
  • 5. Static IP and hotspot mode
  • 6. Web page real-time monitoring
  • 7. Expansion tutorial
  • 8. Write system images
05.Docker couse(For Pi5)
  • 1.Docker overview and docker installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
  • 4.Docker hardware interaction and data processing
  • 5.Start the transbot se container
06.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
07.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. MediaPipe development
08.ROS robot course
  • 1.PID algorithm
  • 2.Basic communication
  • 3.Keyboard control
  • 4.Handle control(Optional)
  • 5.Robot state estimation
  • 6.Data calibration
09.ROS simple camera course
  • 1.HD camera calibration
  • 2.HD camera color tracking
  • 3.HD camera color tracking (robotic arm)
  • 4.HD camera object tracking
  • 5. KCF target tracking
  • 6.HD camera face tracking
  • 7.HD camera robotic arm carrying
  • 8.HD camera Autopilot
10.ROS robotic arm control tutorial
  • 1.MoveIt configuration
  • 2.MoveIt control the real machine
  • 3.MoveIt moves randomly
  • 4.MoveIt kinematics design
  • 5.MoveIt cartesian path
  • 6.MoveIt avoiding
  • 7.MoveIt scene design
  • 8.MoveIt trajectory planning
  • 9.Mediapipe palm control car
  • 10.Mediapipe gesture control robotic arm
  • 11.Mediapipe gesture control car
  • 12.Mediapipe arm attitude control robotic arm
11.ROS multi-robot control(Optional)
  • 1. Multi-robot control(Optional)
  • 2. Multi-robot queue performance(Optional)
  • 3. Multi-robot robot arm dancing(Optional)
12.Deep learning courses
  • 1.KNN recognizes handwritten digits
  • 2.Basic use of TensorFlow
  • 3.Basic use of PyTorch(jetson)
  • 4.yolov5 model training(jetson)
  • 5.yolov5+tensorrt acceleration(jetson)
  • 6.yolov4-tiny
13.Installation Video
  • Part18
  • Part1-6
  • Part7-12
  • Part13.1-13.3.3
  • Part13.4.1-17
14.FAQnew
  • 1.Using your own Jetson board,Transbot-SE cannot start normally
Download
  • APP(iOS/Android)
  • System_File-Pi5
  • System_File-Pi4
  • System_File-Jetson
  • VM_File
  • Appendix
  • Code
  • InstructionManual
  • Jetson_Boot_USB.tar.gz
  • Hardware_Info
Download ZIP

Welcome to Transbot SE repository

8.Server

8. Server

8 Server

8 Server 8.1 C++ language implementation 8.1.1 Implementation steps 8.1.2 Switch to the ~/catkin_ws/src/learning_server/src directory, create a new .cpp file, name it turtle_vel_command_server, and paste the code below into it 8.2 Python language implementation 8.2.1 Switch to the ~/catkin_ws/src/learning_server directory, create a new script folder, cut it in, create a new py file, name it turtle_vel_command_server, and paste the code below into it

In the last lesson, we talked about the client requesting the service, and then the server providing the service. In this lesson, we will talk about how the server implements the service.

8.1 C++ language implementation

8.1.1 Implementation steps

  1. initialize the ROS node
  2. create a Server instance
  3. wait for the service request in a loop, enter the callback function
  4. complete the functional processing of the service in the callback function, and feedback the response data

8.1.2 Switch to the ~/catkin_ws/src/learning_server/src directory, create a new .cpp file, name it turtle_vel_command_server, and paste the code below into it

turtle_vel_command_server.cpp

​x
/** 
 * This routine will execute the /turtle_vel_command service, service data type std_srvs/Trigger 
 */ 
 
#include <ros/ros.h> 
#include <geometry_msgs/Twist.h> 
#include <std_srvs/Trigger.h> 

ros::Publisher  turtle_vel_pub; 
bool  pubvel  =  false; 

// service callback function, input parameter req, output parameter res 
bool  pubvelCallback(std_srvs::Trigger::Request   & req, 
                    std_srvs::Trigger::Response  & res) 
{ 
    pubvel  =  !pubvel; 

        ROS_INFO("Do you want to publish the vel?: [%s]", pubvel == true ? "Yes" : "No"); // print client request data 

    // set feedback data 
    res.success  =  true; 
    res.message  =  "The status is changed!"; 

    return  true; 
} 

int  main(int  argc, char  ** argv) 
{ 
    
    ros::init(argc, argv, "turtle_vel_command_server"); 

  
    ros::NodeHandle  n; 

    // Create a server named /turtle_vel_command and register the callback function pubvelCallback 
    ros::ServiceServer  command_service  =  n.advertiseService("/turtle_vel_command", pubvelCallback); 

    // Create a Publisher, publish a topic named /turtle1/cmd_vel, the message type is geometry_msgs::Twist, and the queue length is 8 
    turtle_vel_pub  =  n.advertise < geometry_msgs::Twist >("/turtle1/cmd_vel", 8); 

    ros::Rate  loop_rate(10); // set the frequency of the loop 

    while(ros::ok()) 
    { 
        
        ros::spinOnce(); // View the callback function queue once 
        
        // Judging that pubvel is True, issue the small turtle speed command 
        if(pubvel) 
        { 
            geometry_msgs::Twist vel_msg; 
            vel_msg.linear.x  =  0.6; 
            vel_msg.angular.z  =  0.8; 
            turtle_vel_pub.publish(vel_msg); 
        } 

        loop_rate.sleep(); //Delay according to the loop frequency 
    } 

    return  0; 
} 
  1. program flow chart

image-20220427143845105

  1. configure in CMakelist.txt, under the build area, add the following content
xxxxxxxxxx
add_executable(turtle_vel_command_server src/turtle_vel_command_server.cpp) 
target_link_libraries(turtle_vel_command_server ${catkin_LIBRARIES}) 
  1. Compile the code in the workspace directory
xxxxxxxxxx
cd ~/catkin_ws 
catkin_make 
source devel/setup.bash #Environment      variables need to be configured, otherwise the system cannot find the running program 
  1. run the program
xxxxxxxxxx
roscore 
rosrun turtlesim turtlesim_node 
rosrun learning_server turtle_vel_command_server 
  1. Screenshot of running effect

image-20220225114532861

  1. program description

First, after running the little turtle node, you can enter rosservice list in the terminal to see what the current services are. The results are as follows

image-20220219112052144

Then, we run the turtle_vel_command_server program, and then enter the rosservice list, we will find an additional turtle_vel_command_server, as shown in the following figure

image-20220225114746807

Then, we call this service by entering rosservice call /turtle_vel_command_server in the terminal, and we will find that the small turtle moves in a circle. If the service is called again, the small turtle stops moving. This is because in the service callback function, we invert the value of pubvel, and then feed it back. The main function will judge the value of pubvel. If it is True, it will issue a speed command, and if it is False, no command will be issued.

8.2 Python language implementation

8.2.1 Switch to the ~/catkin_ws/src/learning_server directory, create a new script folder, cut it in, create a new py file, name it turtle_vel_command_server, and paste the code below into it

turtle_vel_command_server.py

xxxxxxxxxx
# !/usr/bin/env python 
# -*- coding: utf-8 -*- 
# This routine will execute the /turtle_command service, service data type std_srvs/Trigger 

import  rospy 
import  thread, time 
from  geometry_msgs.msg  import  Twist 
from  std_srvs.srv  import  Trigger, TriggerResponse 

pubvel  =  False; 
turtle_vel_pub  =  rospy.Publisher('/turtle1/cmd_vel', Twist, queue_size = 8) 

Client
Custom service messages and usage

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