yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
MicroROS-Pi5📖
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. MicroROS control board parameter configuration
  • 3. Connect to MicroROS agent
  • 4. Connect to WIFI in hotspot mode
04. Quick start control course
  • 1. Self start handle control
  • 2. Close the self-starting handle control process
  • 3. Quick start keyboard control
  • 4. Map navigation and APP control
05. 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
06. ROS+OpenCV course
  • 1. Getting started with Opencv CV
  • 2. Geometric transformation
  • 3. Image processing and drawing
  • 4. Open Source CV image beautification
  • 5. QR code creation and recognition
  • 6. AR vision
  • 7. ROS+Opencv application
07. 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
08. Robot visual interaction
  • 1. Monocular camera calibration
  • 2. Color tracking
  • 3. Object recognition and tracking
  • 4. Face recognition tracking
  • 5. Autonomous driving line patrol
  • 6. QR code motion control
  • 7. Gesture control of basic movement of the car
  • 8. Control the car movement with your palm
  • 9. Gesture control car action group
  • 10. Palm control of the two-dimensional gimbal servo
09. Lidar course
  • 1. Lidar avoid
  • 2. Lidar following
  • 3. Lidar guard
  • 4. Lidar patrol
  • 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. 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. 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
12. RPi basic setting course
  • 1. Update and upgrade operating system
  • 2. Introduction to raspi-config tool
  • 3. config.txt file description
  • 4. Network Configuration
  • 5. remote access
  • 6. Transfer files remotely
  • 7. Set display resolution and rotation
  • 8. Set screen to sleep
  • 9. Get real-time temperature of Raspberry Pi
  • 10. Play audio and video
  • 11. Using USB camera
  • 12. Using MIPI camera
13. Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Enter the robot's docker container
14. 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)
  • Source code
  • Hardware information
  • VM image file
  • RPi5 imgae file
  • Instruction Manual
  • 3D Model File
  • ROS2_Basic_VM
Download ZIP
FAQ
  • 1、1.USB camera abnormal termination

Welcome to MicroROS-Pi5 repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

4. Map navigation and APP control

APP mapping control

Note: The ROS_DOMAIN_ID of the Raspberry Pi and the microROS control board need to be consistent. You can check [MicroROS Control Board Parameter Configuration] to set the microROS control board ROS_DOMAIN_ID. Check the tutorial [Connect MicroROS Agent] to determine whether the IDs are consistent.

1. Program function description

The car connects to the agent, runs the program, opens the [ROS Robot] app downloaded on the mobile phone, enters the IP address of the car, selects ROS2, and clicks connect to connect to the car. You can control the car by sliding the wheel on the interface, and slowly control the car to complete the mapped area. Finally, click Save Map, and the car will save the currently constructed map.

2. Query car information

2.1. Start and connect to the agent

After the Raspberry Pi is successfully powered on, open the terminal and enter the following command to open the agent:

sh ~/start_agent_rpi5.sh

Press the reset button on the microROS control board and wait for the car to connect to the agent. The connection is successful as shown in the figure below.

2.2. Enter the car docker

Open another terminal and enter the following command to enter docker:

xxxxxxxxxx
sh ros2_humble.sh 

When the following interface appears, you have successfully entered docker. Now you can control the car through commands.

Enter the following command in the terminal to query the agent node:

xxxxxxxxxx
ros2 node list

image-20240125182838655

3. Start the program

First, start the car to process the underlying data program and enter the terminal.

xxxxxxxxxx
ros2 launch yahboomcar_bringup yahboomcar_bringup_launch.py

image-20240125183148929

Start the APP mapping command. Before entering this command, you need to enter the same docker terminal. The steps are as follows:

Reopen a new terminal in the Raspberry Pi and enter the command,

xxxxxxxxxx
docker ps -a

You can see the ID number and docker version you entered into docker. Whichever item you see up is the currently started docker.

image-20240321190532385

You can enter the same docker based on this ID number. Note that the ID number is different every time you enter the docker. Enter the command.

xxxxxxxxxx
docker exec -it ef0e1b7da319 /bin/bash

image-20240321190623029

When this screen appears, we have entered the same docker.

Enter the command to start mapping.

xxxxxxxxxx
ros2 launch yahboomcar_nav map_gmapping_app_launch.xml

image-20240125183608173

Open another terminal and enter the command to start the camera screen(You need to enter the same docker terminal as above),

xxxxxxxxxx
ros2 launch usb_cam camera.launch.py

image-20240125183510556

The mobile APP displays as shown below, enter the IP address of the car, [zh] means Chinese, [en] means English; select ROS2, select /usb_cam/image_raw/compressed below, and finally click [Connect]

After successful connection, the following is displayed.

23223

Use the sliding wheel to control the car to move slowly through the area that needs to be mapped, then click to save the map, enter the map name and click submit to save the map.

image-20240125183805198

The location path where the map is saved is as follows

xxxxxxxxxx
/root/yahboomcar_ws/src/yahboomcar_nav/maps

This tutorial is mainly used to use the mobile phone APP to control the car, while observing the camera screen and testing the point cloud data of the radar. After the map building is completed, you can refer to the tutorial on mobile APP navigation later.

 

Quick start keyboard control
Robot information release

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文