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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

1. Robot information release

Robot information release

Note: The virtual machine needs to be in the same LAN as the car, and the ROS_DOMAIN_ID needs to be consistent. You can check [Must read before use] to set the IP and ROS_DOMAIN_ID on the board.

1. Program function description

After the car is connected to the agent, it will publish sensor data such as radar and imu. You can run commands in the supporting virtual machine/Raspberry Pi 5 to query this information. You can also publish control data of sensors such as speed and buzzer.

2. Query car information

2.1. Start and connect to the agent

Taking the supporting virtual machine as an example, enter the following command to start the agent:

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

image-20240102115129150

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

image-20231215164706528

2.2. Query the car node information

Enter the following command in the terminal to query the node,

xxxxxxxxxx
ros2 node list

image-20231215165454729

Then enter the following command to query which topics the node has published/subscribed to,

xxxxxxxxxx
ros2 node info /YB_Car_Node

image-20231220110334013

It can be seen that the topics subscribed to include:

/beep:Buzzer control

/cmd_vel:Car speed control

/servo_s1:s1 servo gimbal control

/servo_s2:s2 servo gimbal control

Posted topics include:

/imu:imu module data

/odom:Odometer module data

/scan:Radar module data

We can also query the topic command and enter it in the terminal,

xxxxxxxxxx
ros2 topic list

image-20231220110433482

2.3. Query topic data

Query radar data,

xxxxxxxxxx
ros2 topic echo /scan

image-20231215170527461

Query imu data,

xxxxxxxxxx
ros2 topic echo /imu

image-20231215170635077

Query odom data,

xxxxxxxxxx
ros2 topic echo /odom_raw

image-20231215170820806

3. Publish car control information

3.1. Control the buzzer

First, query the relevant information about the following buzzer topics, enter it in the terminal,

xxxxxxxxxx
ros2 topic info /beep

image-20231215171054137

Learn that the data type is std_msgs/msg/UInt16. Then enter the following command to turn on the buzzer and enter in the terminal,

xxxxxxxxxx
ros2 topic pub /beep std_msgs/msg/UInt16 "data: 1"

image-20231215171304563

Enter the following command to turn off the buzzer, terminal input,

xxxxxxxxxx
ros2 topic pub /beep std_msgs/msg/UInt16 "data: 0"

image-20231215171355932

3.2. Release speed control information

We assume that the released car moves at a linear speed of 0.5 and an angular speed of 0.2, and the terminal input is,

xxxxxxxxxx
ros2 topic pub /cmd_vel geometry_msgs/msg/Twist "{linear: {x: 0.5, y: 0.0, z: 0.0}, angular: {x: 0.0, y: 0.0, z: 0.2}}"

image-20231215172334672

If parking, enter

xxxxxxxxxx
ros2 topic pub /cmd_vel geometry_msgs/msg/Twist "{linear: {x: 0.0, y: 0.0, z: 0.0}, angular: {x: 0.0, y: 0.0, z: 0.0}}"

image-20231215172535292

3.3. Control the gimbal servo

What needs to be noted here is that the range of s1 servo is [-90,90], and the range of s2 servo is [-90,20]. If the value exceeds the range, the servo will not rotate.

We assume that the s1 servo is controlled to rotate 30 degrees, and the terminal input is,

xxxxxxxxxx
ros2 topic pub /servo_s1 std_msgs/msg/Int32 "data: 30"

image-20231220110647836

In the same way, if the s2 servo is controlled to rotate -30 degrees, the terminal input will be

xxxxxxxxxx
ros2 topic pub /servo_s2 std_msgs/msg/Int32 "data: -30"

image-20231220110837675

 

Gesture recognition
Robot keyboard control

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