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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

5.Subscribers

5 Subscribers

5 Subscribers 5.1 Subscribers 5.2 Create a Subscriber 5.2.1 Creation steps 5.2.2 C++ language implementation 5.2.3 Python language implementation

5.1 Subscribers

The subscriber receives the data published by the publisher, and then enters its callback function and processes the received data in the callback function. Its core content is a callback function, and each subscriber subscribes to a topic that has a callback function.

5.2 Create a Subscriber

5.2.1 Creation steps

  1. initialize the ROS node
  2. create a handle
  3. subscribe to the topic you need
  4. wait for the topic message in a loop, and enter the callback function after receiving the message
  5. complete the message processing in the callback function.

5.2.2 C++ language implementation

  1. In the "Publisher" tutorial, create a new c++ file under the src folder of the created function package and name it turtle_pose_subscriber.cpp
  2. Copy and paste the program code below into the turtle_pose_subscriber.cpp file
​x
/*Create a small turtle's current pose information to receive*/ 
#include <ros/ros.h> 
#include "turtlesim/Pose.h" 
// After receiving the message, it will enter the message callback function, and the callback function will process the received data 
void  turtle_poseCallback(const  turtlesim::Pose::ConstPtr &  msg){ 
    // print received message 
    ROS_INFO("Turtle pose: x:%0.3f, y:%0.3f", msg -> x, msg -> y); 
} 

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

    ros::NodeHandle  n; //here is to create handle 

    // Create a subscriber, the subscribed topic is the topic of /turtle1/pose, and poseCallback is the callback function 
    ros::Subscriber  pose_sub  =  n.subscribe("/turtle1/pose", 10, turtle_poseCallback); 
   
    ros::spin(); // loop waiting for callback function 

    return  0; 
} 
  1. Program flow chart, which can be viewed corresponding to the content of 5.2.1

sub_c++

  1. configure in CMakelist.txt, under the build area, add the following content
xxxxxxxxxx
add_executable(turtle_pose_subscriber src/turtle_pose_subscriber.cpp) 
target_link_libraries(turtle_pose_subscriber ${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
  • run roscore
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roscore 
  • Run the turtle node
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rosrun turtlesim turtlesim_node 
  • Run the subscription to continuously receive the pose data sent by the turtle
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rosrun learning_topic turtle_pose_subscriber 
  1. run the screenshot

image-20220225102205852

  1. program operation instructions
  • After running the node of the turtle, the turtle will continuously send its own pose information, and the topic name sent is

/turtle1/pose

  • After turtle_pose_subscriber runs, it will receive the data messages sent by the turtle, and then print the information in the callback function.

5.2.3 Python language implementation

  1. In the function package directory, create a new folder scripts, and then create a new python file(file suffix .py) in the scripts folder, named turtle_pose_subscriber.py
  2. copy and paste the following program code into the turtle_pose_subscriber.py file
xxxxxxxxxx
#!/usr/bin/env python 
# -*- coding: utf-8 -*- 

import  rospy 
from  turtlesim.msg  import  Pose 

 def poseCallback(msg): 
    rospy.loginfo("Turtle pose: x:%0.3f, y:%0.3f", msg.x, msg.y) 

 def turtle_pose_subscriber(): 
    
    rospy.init_node('turtle_pose_subscriber', anonymous = True) # ROS node initialization 

    # Create a Subscriber, subscribe to the topic named /turtle1/pose, register the callback function poseCallback 
    rospy.Subscriber("/turtle1/pose", Pose, poseCallback) 

    
    rospy.spin() # loop waiting for the callback function 

if  __name__  ==  '__main__' : 
    turtle_pose_subscriber() 
  1. program flow chart

image-20220225103401539

  1. run the program
  • run roscore

    xxxxxxxxxx
    roscore 
  • Run the turtle node

    xxxxxxxxxx
    rosrun turtlesim turtlesim_node 
  • Run the subscriber to continuously receive the pose data sent by the turtle

    xxxxxxxxxx
    rosrun learning_topic turtle_pose_subscriber.py 
  1. Refer to 5.2.2 for operation effect and program description.

Publisher
Customize topic messages and use

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