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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。

9. Publish lidar data topics

Publish lidar data topics

Publish lidar data topics1. Experimental purpose2. Hardware connection3. Core code analysis4. Compile, download and flash firmware5. Experimental results

1. Experimental purpose

Learn ESP32-microROS components, access the ROS2 environment, and publish radar data topics.

 

2. Hardware connection

As shown in the figure below, the microROS control board integrates the ESP32-S3-WROOM core module, which has its own wireless WiFi function. The ESP32-S3 core module needs to be connected to an antenna. It also integrates the MS200 lidar serial port interface, which requires an external MS200 lidar. To complete the experiment, you still need to connect the type-C data cable to the computer and the microROS control board for the firmware burning function.image-20240118121650986

The MS200 lidar interface cable has an anti-reverse connection function and can be inserted directly into the interface.

image-20240112173042656

 

3. Core code analysis

The virtual machine path corresponding to the program source code is as follows.

~/esp/Samples/microros_samples/lidar_publisher

Since the MS200 lidar is used this time, and the components of the MS200 lidar have been made in the previous routine, the relevant components of the MS200 lidar need to be copied to the components directory of the project. Call Uart1_Init and Lidar_Ms200_Init at the beginning of the program to initialize serial port 1 and MS200 lidar.

image-20240118122619575

Initialize the release of lidar information, set the radar angle to -180~180, the angle spacing to 1 degree, the ranging range to 0.12~8.0 meters, and frame_id to "laser_frame". Then decide whether to add the ROS_NAMESPACE prefix based on whether ROS_NAMESPACE is empty.

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void lidar_ros_init(void)
{
    int i;
    msg_lidar.angle_min = -180*M_PI/180.0;
    msg_lidar.angle_max = 180*M_PI/180.0;
    msg_lidar.angle_increment = 1*M_PI/180.0;
    msg_lidar.range_min = 0.12;
    msg_lidar.range_max = 8.0;
    msg_lidar.ranges.data = (float *)malloc(360 * sizeof(float));
    msg_lidar.ranges.size = 360;
    for (i = 0; i < msg_lidar.ranges.size; i++)
    {
        msg_lidar.ranges.data[i] = 0;
    }
    msg_lidar.intensities.data = (float *)malloc(360 * sizeof(float));
    msg_lidar.intensities.size = 360;
    for (i = 0; i < msg_lidar.intensities.size; i++)
    {
        msg_lidar.intensities.data[i] = 10.0;
    }
    char* content_frame_id = "laser_frame";
    int len_namespace = strlen(ROS_NAMESPACE);
    int len_frame_id_max = len_namespace + strlen(content_frame_id) + 2;
    // ESP_LOGI(TAG, "lidar frame len:%d", len_frame_id_max);
    char* frame_id = malloc(len_frame_id_max);
    if (len_namespace == 0)
    {
        // ROS命名空间为空字符
        // The ROS namespace is empty characters
        sprintf(frame_id, "%s", content_frame_id);
    }
    else
    {
        // 拼接命名空间和frame id
        // Concatenate the namespace and frame id
        sprintf(frame_id, "%s/%s", ROS_NAMESPACE, content_frame_id);
    }
    msg_lidar.header.frame_id = micro_ros_string_utilities_set(msg_lidar.header.frame_id, frame_id);
    free(frame_id);
}

Create a new lidar data update task to update the radar data every 20 milliseconds.

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void lidar_update_data_task(void *arg)
{
    uint16_t distance_mm[MS200_POINT_MAX] = {0};
    uint8_t intensity[MS200_POINT_MAX] = {0};
    uint16_t index = 0;
    int i = 0;
    while (1)
    {
        index = 0;
        for (i = 0; i < MS200_POINT_MAX; i++)
        {
            distance_mm[i] = Lidar_Ms200_Get_Distance(i);
            intensity[i] = Lidar_Ms200_Get_Intensity(i);
        }
        for (i = 0; i < MS200_POINT_MAX; i++)
        {
            index = (MS200_POINT_MAX-i) % MS200_POINT_MAX;
            if (index >= 180)
            {
                index = (index - 180) % MS200_POINT_MAX;
            }
            else
            {
                index = (index + 180) % MS200_POINT_MAX;
            }
            msg_lidar.ranges.data[i] = (float)(distance_mm[index] / 1000.0);
            msg_lidar.intensities.data[i] = (float)(intensity[index]);
        }
        vTaskDelay(pdMS_TO_TICKS(20));
    }
    vTaskDelete(NULL);
}

Get the WiFi name and password to connect from the IDF configuration tool.

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#define ESP_WIFI_SSID      CONFIG_ESP_WIFI_SSID
#define ESP_WIFI_PASS      CONFIG_ESP_WIFI_PASSWORD
#define ESP_MAXIMUM_RETRY  CONFIG_ESP_MAXIMUM_RETRY

The uros_network_interface_initialize function will connect to WiFi hotspots based on the WiFi configuration in IDF.

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ESP_ERROR_CHECK(uros_network_interface_initialize());

Then obtain ROS_NAMESPACE, ROS_DOMAIN_ID, ROS_AGENT_IP and ROS_AGENT_PORT from the IDF configuration tool.

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#define ROS_NAMESPACE      CONFIG_MICRO_ROS_NAMESPACE
#define ROS_DOMAIN_ID      CONFIG_MICRO_ROS_DOMAIN_ID
#define ROS_AGENT_IP       CONFIG_MICRO_ROS_AGENT_IP
#define ROS_AGENT_PORT     CONFIG_MICRO_ROS_AGENT_PORT

Initialize the configuration of microROS, in which ROS_DOMAIN_ID, ROS_AGENT_IP and ROS_AGENT_PORT are modified in the IDF configuration tool according to actual needs.

​x
    rcl_allocator_t allocator = rcl_get_default_allocator();
    rclc_support_t support;

    // 创建rcl初始化选项
    // Create init_options.
    rcl_init_options_t init_options = rcl_get_zero_initialized_init_options();
    RCCHECK(rcl_init_options_init(&init_options, allocator));
    // 修改ROS域ID
    // change ros domain id
    RCCHECK(rcl_init_options_set_domain_id(&init_options, ROS_DOMAIN_ID));

    // 初始化rmw选项
    // Initialize the rmw options
    rmw_init_options_t *rmw_options = rcl_init_options_get_rmw_init_options(&init_options);

    // 设置静态代理IP和端口
    // Setup static agent IP and port
    RCCHECK(rmw_uros_options_set_udp_address(ROS_AGENT_IP, ROS_AGENT_PORT, rmw_options));

Try to connect to the proxy. If the connection is successful, go to the next step. If the connection to the proxy is unsuccessful, you will always be in the connected state.

xxxxxxxxxx
    while (1)
    {
        ESP_LOGI(TAG, "Connecting agent: %s:%s", ROS_AGENT_IP, ROS_AGENT_PORT);
        state_agent = rclc_support_init_with_options(&support, 0, NULL, &init_options, &allocator);
        if (state_agent == ESP_OK)
        {
            ESP_LOGI(TAG, "Connected agent: %s:%s", ROS_AGENT_IP, ROS_AGENT_PORT);
            break;
        }
        vTaskDelay(pdMS_TO_TICKS(500));
    }

Create the node "lidar_publisher", in which ROS_NAMESPACE is empty by default and can be modified in the IDF configuration tool according to actual conditions.

xxxxxxxxxx
    rcl_node_t node;
    RCCHECK(rclc_node_init_default(&node, "lidar_publisher", ROS_NAMESPACE, &support));

To create publisher "scan", you need to specify the publisher information as sensor_msgs/msg/LaserScan type.

xxxxxxxxxx
    RCCHECK(rclc_publisher_init_default(
        &publisher_lidar,
        &node,
        ROSIDL_GET_MSG_TYPE_SUPPORT(sensor_msgs, msg, LaserScan),
        "scan"));

Create a publisher's timer with a publishing frequency of 11HZ.

x
    const unsigned int timer_timeout = 90;
    RCCHECK(rclc_timer_init_default(
        &timer_lidar,
        &support,
        RCL_MS_TO_NS(timer_timeout),
        timer_lidar_callback));

Create an executor, where the three parameters are the numbers controlled by the executor, which should be greater than or equal to the number of subscribers and publishers added to the executor. and add the publisher's timer to the executor.

xxxxxxxxxx
    rclc_executor_t executor;
    int handle_num = 1;
    RCCHECK(rclc_executor_init(&executor, &support.context, handle_num, &allocator));
    
    RCCHECK(rclc_executor_add_timer(&executor, &timer_lidar));

The main function of the lidar timer callback function is to send LaserScan data.

xxxxxxxxxx
void timer_lidar_callback(rcl_timer_t *timer, int64_t last_call_time)
{
    RCLC_UNUSED(last_call_time);
    if (timer != NULL)
    {
        struct timespec time_stamp = get_timespec();
        msg_lidar.header.stamp.sec = time_stamp.tv_sec;
        msg_lidar.header.stamp.nanosec = time_stamp.tv_nsec;
        RCSOFTCHECK(rcl_publish(&publisher_lidar, &msg_lidar, NULL));
    }
}

Call rclc_executor_spin_some in the loop to make microros work normally.

xxxxxxxxxx
    while (1)
    {
        rclc_executor_spin_some(&executor, RCL_MS_TO_NS(100));
        usleep(1000);
    }

 

4. Compile, download and flash firmware

Use a Type-C data cable to connect the virtual machine/computer and the microROS control board. If the system pops up, choose to connect to the virtual machine.

Activate the ESP-IDF development environment. Note that every time you open a new terminal, you need to activate the ESP-IDF development environment before compiling the firmware.

xxxxxxxxxx
source ~/esp/esp-idf/export.sh

Enter the project directory

xxxxxxxxxx
cd ~/esp/Samples/microros_samples/lidar_publisher

Open the ESP-IDF configuration tool.

xxxxxxxxxx
idf.py menuconfig

Open micro-ROS Settings, fill in the IP address of the agent host in micro-ROS Agent IP, and fill in the port number of the agent host in micro-ROS Agent Port.

image-20240116194035834

Open micro-ROS Settings->WiFi Configuration in sequence, and fill in your own WiFi name and password in the WiFi SSID and WiFi Password fields.

image-20240116193354397

Open the micro-ROS example-app settings. The Ros domain id of the micro-ROS defaults to 20. If multiple users are using it at the same time in the LAN, the parameters can be modified to avoid conflicts. Ros namespace of the micro-ROS is empty by default and does not need to be modified under normal circumstances. If non-empty characters (within 10 characters) are modified, the namespace parameter will be added before the node and topic.

image-20240116195328563

After modification, press S to save, and then press Q to exit the configuration tool.

Compile, flash, and open the serial port simulator.

xxxxxxxxxx
idf.py build flash monitor

If you need to exit the serial port simulator, press Ctrl+].

 

5. Experimental results

After powering on, ESP32 tries to connect to the WiFi hotspot, and then tries to connect to the proxy IP and port.

If the agent is not turned on in the virtual machine/computer terminal, please enter the following command to turn on the agent. If the agent is already started, there is no need to start the agent again.

xxxxxxxxxx
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-20240117151035412

After the connection is successful, a node and a publisher are created.

image-20240117113138240

At this time, you can open another terminal in the virtual machine/computer and view the /lidar_publisher node.

xxxxxxxxxx
ros2 node list
ros2 node info /lidar_publisher

image-20240118144034418

Subscribe/scan topic data,

xxxxxxxxxx
ros2 topic echo /scan

Press Ctrl+C to end the command

image-20240118144254815

Check the frequency of /scan topic. It is normal if it is about 11hz.

xxxxxxxxxx
ros2 topic hz /scan

Press Ctrl+C to end the command

image-20240118144351654

 

Release IMU data topic
Customized transmission method

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