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MicroROS Robot📖
01. Introduction
  • 0.Unpacking and reviewing video
  • 1. ReadMe - learning route
  • 2. Introduction to lidar
  • 3. Introduction to microROS control board
  • 4. FAQ
  • 5. About charging
02. Assembly course
  • Assembly steps
03. Preparation
  • First Trial
  • 1. Write firmware
  • 2. How to install and use VM
  • 3. microROS control board configuration
  • 4. Connect to microROS agent
04. VM Remote control course
  • 1. VM keyboard remote control
  • 2. VM handle remote control
05.ROS-WiFi module configuration
  • 0. Serial port configuration WiFi instructions
  • 1.Module usage in car(ReadMe)
  • 2.Connection module proxy
  • 3.Camera picture correction(ReadMe)
  • 4.Calibrate servo PTZ(ReadMe)
06.ROS+OpenCV course
  • 1.OpenCV Getting started
  • 2.Geometric transformation
  • 3.Image processing and drawing text line segments
  • 4.Image beautification
07.Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall inspection
  • 4. Face detection
  • 5. Face recognition
  • 6. Facial effects
  • 7. 3D object recognition
  • 8. Brush
  • 9. Finger control
  • 10. Gesture recognition
08. Robot basic course
  • 1. Robot information release
  • 2. Robot keyboard control
  • 3. Robot handle control
  • 4. Robot state estimation
  • 5. Linear speed calibration
  • 6. Angular velocity calibration
  • 7. Robot URDF model
09. Lidar course
  • 1. Lidar avoid
  • 2. Lidar following
  • 3. Lidar guard
  • 4. Lidarpatrol
  • 5. Gmapping mapping
  • 6. Cartographer mapping
  • 7. Navigation2 navigation avoid
  • 8. ROS Robot APP mapping
  • 9. ROS Robot APP navigation
10. Multi-machine course
  • 1. Multi-machine handle control
  • 2.Multi-machine keyboard control
  • 3. Multi-machine navigation
11.Robot visual interaction
  • 1. Color tracking
  • 2. Object recognition and tracking
  • 3.Face recognition tracking
  • 4.Autonomous driving line patrol
  • 5.QR code motion control
  • 6.Gesture control car movement
  • 7.Palm control car movement
  • 8.Gesture control car action group
  • 9.Palm control 2DOF servo PTZ
12. Linux basic course
  • 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. Remote file transfer
  • 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 source
  • 15. set root password
  • 16. sudo free password
  • 17. Connect to WiFi network
  • 18. View system version
  • 19. Customized service management
  • 20. Back up system image
13. Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. In-depth understand and publishing images
  • 4. Hardware interaction and data processing
  • 5. Enter robot docker container
18.ROS2 basic course
  • 1. Introduction to ROS2
  • 2.ROS2 install Humble
  • 3. ROS2 development environment
  • 4. ROS2 workspace
  • 5. ROS2 function package
  • 6. ROS2 node
  • 7.ROS2 topic communication
  • 8. ROS2 service communication
  • 9. ROS2 action communication
  • 10. ROS2 custom interface message
  • 11. ROS2 parameter service case
  • 12. ROS2 meta-function package
  • 13. ROS2 distributed communication
  • 14. ROS2 DDS
  • 15. ROS2 time related API
  • 16. ROS2 common command tools
  • 17. ROS2 rviz2 use
  • 18. ROS2 rqt toolbox
  • 19. ROS2 Launch startup file configuration
  • 20. ROS2 recording and playback tool
  • 21. ROS2 URDF model
  • 22. ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
15. microROS control board development environment
  • 1. Introduction to microROS control board
  • 2. Set up ESP32-IDF development environment
  • 3. ESP32-IDF configuration tool
  • 4. Install ESP32-microros components
  • 5. Install and start microROS agent
  • 6. Flash-tool burning firmware
16. ESP32 basic course
  • 1. Turn on the LED light
  • 2. Button function
  • 3. Drive the buzzer
  • 4. Serial communication
  • 5. Battery voltage detection
  • 6. Drive PWM servo
  • 7. Drive motor
  • 8. Read motor encoder data
  • 9. PID controls car speed
  • 10. Read IMU data
  • 11. Read radar data
  • 12. Flash access data
  • 13. Partition table and memory
  • 14. Bluetooth communication
  • 15. WiFi networking
  • 16. Robot kinematics analysis
  • 17. ROS-WiFi camera module
17. microros basic course
  • 1. Publish topic
  • 2. Subscribe topic
  • 3. Multi-topic subscribe and publish
  • 4. Subscribe buzzer topics
  • 5. Subscribe PWM servo topics
  • 6. Subscribe speed control topics
  • 7. Release speed topic
  • 8. Release IMU data topic
  • 9. Publish lidar data topics
  • 10. Customized transmission method
Download
  • Mapping_APP(iOS_Android)
  • Code and firmware
  • Hardware info and driver software
  • VM image file
  • Instruction manual
  • SystemFile_RPi
  • SystemFile_JetsonNANO
  • 3D_Model_File
  • ROS2_Basic_VM
Download ZIP

Welcome to MicroROS Robot repository

6. ROS2 node

6. ROS2 Nodes

1. Node Introduction

Regardless of the communication method used, the construction of communication objects relies on nodes. In ROS2, each node generally corresponds to a single functional module (for example, a radar driver node might be responsible for publishing radar messages, while a camera driver node might be responsible for publishing image messages). A complete robotic system may consist of many nodes working together. In ROS2, a single executable file (C++ program or Python program) can contain one or more nodes.

2. Node Creation Process

  1. Create a Program File
  2. Import Related ROS Libraries
  3. Write Node Functions
  4. Write the Configuration File
  5. Compile and Run

3. Hello World Node Example

This section uses the Python package as an example.

3.1. Creating the Python Package

Replace -workspace with your actual workspace path.

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cd workspace/src
ros2 pkg create pkg_helloworld_py --build-type `ment_python` --dependencies `rclpy` --node-name `helloworld`

3.2. Writing Code

Executing the above command will create pkg_helloworld_py and a helloworld.py file for writing the node:

image-20231023163116372

Delete the original helloworld.py Write the following code:

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​
import rclpy                                     # ROS2 Python interface library
from rclpy.node import Node                      # ROS2 node class
import time
​
"""
Create a HelloWorld node and log "Hello World" during initialization.
"""
class HelloWorldNode(Node):
    def __init__(self, name):
        super().__init__(name)                     # Initialize the ROS2 node parent class
        while rclpy.ok():                          # Check if the ROS2 system is running properly
            self.get_logger().info("Hello World")  # Output ROS2 logs
            time.sleep(0.5)                        # Sleep control loop time
​
def main(args=None):                               # Main entry point for the ROS2 node
    rclpy.init(args=args)                          # Initialize the ROS2 Python interface
    node = HelloWorldNode("helloworld")            # Create and initialize the ROS2 node object
    rclpy.spin(node)                               # Loop and wait for ROS2 to exit.
    node.destroy_node()                            # Destroy the node object
    rclpy.shutdown()                               # Close the ROS2 Python interface
​

After writing the code, you need to set the package's compilation options to let the system know the entry point for the Python program. Open the package's setup.py file and add the following entry point configuration:

image-20231023172134879

3.3. Compiling the Package

  • Compiling the Package
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colcon build --packages-select pkg_helloworld_py
  • Refresh the environment variables in the workspace
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source install/setup.bash

3.4. Running the Node

xxxxxxxxxx
ros2 run pkg_helloworld_py helloworld

After running successfully, you can see the "Hello World" string being printed in a loop in the terminal:

image-20231023163749024

ROS2 function package
ROS2 topic communication

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