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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

8. ROS Robot APP mapping

ROS Robot APP mapping

Note: The VM must be in the same LAN as the trolley, and the ROS_DOMAIN_ID must be the same. You can set the IP address and ROS_DOMAIN_ID on the board by referring to the Required Read Before Using the VM.

1、Program function specification

Connect the car to the agent, run the program, open the [ROS Robot] app downloaded on the mobile phone, enter the IP address of the car, select ROS2, click Connect, and then connect the car. The car can be controlled by sliding the roulette wheel in the interface, and the car can be slowly controlled to complete the area of map construction. At last, click Save map, and the car will save the map currently built.

2、Start and connect to the agent

Take the matching VM as an example, enter the following command to start the agent (the agent can be started once without shutting down, do not need to start again).

#Car agency
sudo docker run -it --rm -v /dev:/dev -v /dev/shm:/dev/shm --privileged --net=host microros/micro-ros-agent:humble udp4 --port 8090 -v4
#Camera agent (Start the agent and then turn on the car switch)
docker run -it --rm -v /dev:/dev -v /dev/shm:/dev/shm --privileged --net=host microros/micro-ros-agent:humble udp4 --port 9999 -v4

image-20240102120120341

Then, open the car switch and wait for the car to connect to the agent. The connection is successful as shown in the figure below,

image-20231219100456522

3、Initiating program

First start the car to process the underlying data program, terminal input,

xxxxxxxxxx
ros2 launch yahboomcar_bringup yahboomcar_bringup_launch.py

image-20231219101637748

Start the APP drawing command, enter the terminal,

xxxxxxxxxx
# Choose one of the following two drawings
ros2 launch yahboomcar_nav map_gmapping_app_launch.xml
ros2 launch yahboomcar_nav map_cartographer_app_launch.xml
# Make the camera steering level
ros2 run yahboom_esp32_mediapipe control_servo
# Start ESP32 camera
ros2 run yahboom_esp32_camera sub_img

The mobile APP shows the following picture. Enter the IP address of the car, 【zh】 indicates Chinese, 【en】 indicates English; Select ROS2, Video Tpoic select /usb_cam/image_raw/compressed, and click "Connect". image-20231219143224710

After the connection is successful, the following information is displayed,

image-20231219143427091

By sliding the roulette wheel control car slowly move through the area that needs to be built, then click save map, enter the map name and click submit, you can save the map

image-20231219143658951

Where the map is saved is,

xxxxxxxxxx
/home/yahboom/yahboomcar_ws/src/yahboomcar_nav/maps

image-20231219143847102

4、Code parsing

This section describes how to start the launch file for creating an APP diagram. The gmapping diagram is used as an example,

map_gmapping_app_launch.xml

xxxxxxxxxx
<launch>
    <include file="$(find-pkg-share rosbridge_server)/launch/rosbridge_websocket_launch.xml"/>
    <node name="laserscan_to_point_publisher" pkg="laserscan_to_point_publisher" exec="laserscan_to_point_publisher"/>
    <include file="$(find-pkg-share yahboomcar_nav)/launch/map_gmapping_launch.py"/>
    <include file="$(find-pkg-share robot_pose_publisher_ros2)/launch/robot_pose_publisher_launch.py"/>
    <include file="$(find-pkg-share yahboom_app_save_map)/yahboom_app_save_map.launch.py"/>
</launch>

The following launch files and Node nodes are run:

  • rosbridge_websocket_launch.xml:Start the nodes related to rosbridge service and connect to ROS through the network
  • laserscan_to_point_publisher:Publish the radar point cloud conversion to the APP for visualization
  • map_gmapping_launch.py:gmapping Drawing program
  • robot_pose_publisher_launch.py:Car position and posture release program, car position and posture visualization in the APP
  • yahboom_app_save_map.launch.py:A program for saving maps

 

Navigation2 navigation avoid
ROS Robot APP navigation

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