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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

7.Client

7. Client

7 Client

7 Client 7.1 Preparation 7.1.1 Create a function package 7.2 C++ language implementation 7.2.1 Implementation steps 7.2.2 Switch to the ~/catkin_ws/src/learning_server/src directory, create a new .cpp file, name it a_new_turtle, and paste the code below into it 7.3 Python language implementation 7.3.1 Switch to the ~/catkin_ws/src/learning_server directory, create a new script folder, cut it in, create a new py file, name it a_new_turtle, and paste the code below into it

In ROS communication, in addition to topic communication, there is also service communication. Services include clients and servers. The client requests the service and the server provides the service. This section takes the client as the main content and talks about how c++ and python implement the client.

7.1 Preparation

7.1.1 Create a function package

  1. switch to the ~/catkin_ws/src directory,
catkin_create_pkg learning_server std_msgs rospy roscpp geometry_msgs turtlesim 
  1. switch to the ~/catkin_ws directory,
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catkin_make 

7.2 C++ language implementation

7.2.1 Implementation steps

  1. initialize the ROS node
  2. create a handle
  3. create a Client instance
  4. initialize and publish service request data
  5. wait for the response result after server processing

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

a_new_turtle.cpp

​x
/** 
 * This routine will request the /spawn service in the turtle node, and a new turtle will appear at the specified location 
 */ 

#include <ros/ros.h> 
#include <turtlesim/Spawn.h> 

int  main(int  argc, char**  argv) 
{ 
    
    ros::init(argc, argv, "a_nes_turtle"); // initialize the ROS node 

    ros::NodeHandle  node; 

    ros::service::waitForService("/spawn"); // wait for /spawn service 
    
    ros::ServiceClient  new_turtle  =  node.serviceClient < turtlesim::Spawn >("/spawn"); //Create a service client and connect to the service named /spawn 

    // Initialize request data for turtlesim::Spawn 
    turtlesim::Spawn  new_turtle_srv; 
    new_turtle_srv.request.x  =  6.0; 
    new_turtle_srv.request.y  =  8.0; 
    new_turtle_srv.request.name  =  "turtle2"; 

    // Request the service to pass in xy position parameters and name parameters 
    ROS_INFO("Call service to create a new turtle name is %s,at the x:%.1f,y:%.1f", new_turtle_srv.request.name.c_str(), 
        new_turtle_srv.request.x, 
        new_turtle_srv.request.y); 

    new_turtle.call(new_turtle_srv); 

    
    ROS_INFO("Spwan turtle successfully [name:%s]", new_turtle_srv.response.name.c_str()); // Display service call result 

    return  0; 
}; 
  1. program flow chart

image-20220225112117967

  1. configure in CMakelist.txt, under the build area, add the following content
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add_executable(a_new_turtle src/a_new_turtle.cpp) 
target_link_libraries(a_new_turtle ${catkin_LIBRARIES}) 
  1. Compile the code in the workspace directory
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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
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roscore 
rosrun turtlesim turtlesim_node 
rosrun learning_server a_new_turtle 
  1. Screenshot of running effect

image-20220225112424249

  1. program description

After starting the node of the turtle, and running the a_new_turtle program, you will find that another turtle will appear on the screen. This is because the node of the turtle provides a service/spawn, which will generate another turtle. The services provided by the turtle can be viewed through the rosservice list command, as shown in the following figure

image-20220218180756612

You can view the parameters required by this service through rosservice info /spawn, as shown in the following figure

image-20220218181244822

It can be seen that there are 4 parameters: x, y, theta, name, these four parameters are initialized in a_new_turtle.cpp

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srv.request.x = 6.0; 
srv.request.y = 8.0; 
srv.request.name = "turtle2"; 
Note: theta is not assigned and defaults to 0 

7.3 Python language implementation

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

a_new_turtle.py

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# !/usr/bin/env python 
# -*- coding: utf-8 -*- 


import  sys 
import  rospy 
from  turtlesim.srv  import  Spawn 

 def turtle_spawn(): 
    
    rospy.init_node ('new_turtle') # ROS node initialization 

    rospy.wait_for_service('/spawn') # wait for the /spawn service 

    try : 
        new_turtle  =  rospy.ServiceProxy('/spawn', Spawn) 

        
        response = new_turtle(2.0, 2.0, 0.0, "turtle2") # Enter request data 
        return  response _ .name 
    except  rospy.ServiceException, e : 
        print  "failed to call service : %s" % e 

if  __name__  ==  "__main__" : 
    #Service call and display the call result 
    print  "a new turtle named %s."  %(turtle_spawn()) 
  1. program flow chart

image-20220225113010789

  1. run the program
Customize topic messages and use
Server

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