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ROSMASTER M3📖
00.Configuration and Operation Guide
  • 1.Quick start handle to control the car
  • 2.Log in to the car and view the code
  • 3.Enter the Docker (For RPI5)
  • 4.Camera and Radar Configuration (Must Read)
  • 5.Assembly video
  • 6.Modify Control Board Firmware Parameters
01.Chassis Control Course
  • 01.ROS control
  • 02.Handle control
  • 03.Keyboard control
  • 04.Robot state estimation
  • 05.Data remote visualization
  • 06.Line velocity calibration
  • 07.Angular velocity calibration
  • 08.Robot URDF model
  • 09.Line patrol automatic driving
  • 10.Patrol
02.Lidar Course
  • 01.Lidar introduction and use
  • 02.Lidar point cloud fusion and filtering
  • 03.Lidar obstacle avoidance
  • 04.Lidar tracking
  • 05.Lidar guard
  • 06.Gmapping-SLAM mapping
  • 07.Cartographer-SLAM mapping
  • 08.slam_toolbox mapping
  • 09.Lifelong mapping
  • 10.Navigation2 single-point navigation avoid
  • 11.Navigation2 multi-point navigation avoid
  • 12.Cartographer relocalization navigation
  • 13.slam_toolbox localization and navigation
  • 14.Synchronous mapping and navigation
  • 15.RTAB-Map mapping
  • 16.RTAB-Map navigation
  • 17.APP mapping and navigation
03.AI Model Basics
  • 1.AI large model types and principles
  • 2.RAG retrieval enhancement and model training samples
  • 3.Embodied intelligent robot system architecture
  • 4.Embodied intelligent functions core source code
04.AI Model Development
  • 01.Register a model service provider account
  • 02.Configuring API-KEY
  • 03.Introduction to Dify
  • 04.Basic Dify Features
  • 05.AI Large Model Development - chatbot
  • 06.Deploy the RAG knowledge base
  • 07.RAG knowledge base + chatbot
  • 08.AI agent workflow
  • 09.Custom wake-up response
  • 10.Core module testing tools
05.AI Model - Voice Version
  • 1.Semantic understand and command follow
  • 2.Multimodal visual understanding
  • 3.Multimodal visual understanding+SLAM navigation
  • 4.Intention estimation
06.AI Model - Text Version
  • 1.Semantic understand and command follow
  • 2.Multimodal visual understanding
  • 3.Multimodal visual understanding+SLAM navigation
  • 4.Intention estimation
07.Road Network Planning and Navigation
  • 1.Introduction and Quick Start
  • 2.Constructing a Pose Map
  • 3.Road Network Labelling
  • 4.Inter-Road Network Planning and Navigation
  • 5.Free-Pose Road Network Navigation
  • 6.Path Replanning
08.Autonomous Driving expand(Need purchase track map)
  • 01.Environment Setup & Precautions
  • 02.YOLO Environment Configuration
  • 03.Data Collection
  • 04.Data Annotation
  • 05.YOLOv11 Model Training
  • 06.Model Format Conversion
  • 07.Vehicle Centerline Calibration
  • 08.Lane Detection
  • 09.Lane-Keeping Autonomous Driving
  • 10.Traffic Sign Recognition
  • 11.Comprehensive Autonomous Driving Applications
  • 12.Autonomous Driving Debugging Module
  • 13.Road Network Planning with Track Map
  • 14.Road Network Planning with Traffic Sign Recognition
  • 15.AI Model with Road Network Planning
  • 16.AI Model with Track Map and SLAM Navigation
  • 17.AI Model with Road Network Planning and Autonomous Driving
09.Depth Camera Course
  • 01.Dabai_DCW2 Camera Introduction
  • 02.Nuwa-HP60C Camera Introduction
  • 03.Depth Pseudo-Color Image
  • 04.Depth Camera Distance Measurement
  • 05.Wood Block Volume Measurement
  • 06.Edge Detection
  • 07.YOLOv11 Object Detection
  • 08.YOLOv11 Object Tracking
  • 09.Color Following
  • 10.Face Following
  • 11.QR Code Following
  • 12.Machine Code Following
  • 13.KCF Object Tracking
  • 14.QR Code Motion Control
  • 15.AR Vision
10.Mediapipe Visual Course
  • 01.Hand Detection
  • 02.Posture Detection
  • 03.Overall Detection
  • 04.Facial Landmark Detection
  • 05.3D Object Recognition
  • 06.Face Detection
  • 07.Gesture Recognition
  • 08.Face Special Effects
  • 09.Brush
  • 10.Finger Control
  • 11.Palm Target Positioning
  • 12.Fingertip Trajectory Recognition
  • 13.Gesture Following
  • 14.Posture Following
  • 15.Gesture Motion Control
11.Multi-vehicle Course
  • 1.Multi-vehicle Control
  • 2.Multi-vehicle Navigation
  • 3.Multi-vehicle Platoon
12.AI Large Model Basic Course
Offline large model (Text Interaction)
  • 0. AI Large Model Mirroring Explanation
  • 1. Deployment of large-scale AI models
  • 2. Installation of the large model dialogue platform
  • 3. Meta AI Llama 3.2 model
  • 4. Alibaba Cloud Qwen3 Model
  • 5. DeepSeek DeepSeek-R1 model
  • 6. Microsoft Phi-4 mini model
  • 7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
  • 8. Google Gemma3 Visual Multimodal Large Model
  • 9. Llava Visual Multimodal Large Model
  • 10. Multimodal Visual Understanding Applications
  • 11.MiniCPM-V Visual Multimodal Large Model
  • 12. Multimodal Text-Based Image Application
  • 13. Multimodal Video Analysis Application
  • 14. Multimodal table scanning application
  • 15. Multimodal visual positioning applications
  • 16. Multimodal Autonomous Agent Application
Offline large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Offline speech-to-text (ASR)
  • 2. Offline Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual understanding and voice interaction
  • 5. Multimodal Text-Based Image Application
  • 6. Multimodal Video Analysis Application
  • 7. Multimodal visual positioning applications
  • 8. Multimodal table scanning application
  • 9. Multimodal Autonomous Agent Applications
  • 10. AI large model offline voice assistant
Online large model (Text Interaction)
  • 1. OpenRouter Large Model API Aggregation Platform
  • 2. Multimodal visual understanding applications
  • 3. Multimodal visual positioning applications
  • 4. Multimodal table scanning application
  • 5. Multimodal Autonomous Agent Applications
Online large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Online speech-to-text (ASR)
  • 2. Online Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual and voice interaction
  • 5. Multimodal visual positioning applications
  • 6. Multimodal table scanning application
  • 7. Multimodal Autonomous Agent Applications
  • 8. AI large model online voice assistant
13.Control Board Course
1.Development environment setup
  • 1.Introduction to the Control Board
  • 2.Set up the STM32CUBEIDE development environment
  • 3.Burning STM32 firmware using SWD
  • 4.Burning STM32 firmware using serial port
  • 5.Compile the microros driver library
  • 6.Install and start the microros agent
  • 7.Import Project
2.Control board STM32 basic routine
  • 1.Turn on the LED light
  • 2.Button functions
  • 3.Drive the buzzer
  • 4.Serial communication
  • 5.Battery voltage detection
  • 6.Driving PWM Servo
  • 7.Drive motor
  • 8.Read motor encoder data
  • 9.PID control of motor speed
  • 10.Robot kinematics analysis theory
  • 11.Read IMU data
  • 12.Read Lidar data
  • 13.Flash access data
  • 14.Driving OLED Displays
  • 15.Driving RGB light strip
  • 16.SBUS model aircraft remote control
  • 17.USB controller remote control
  • 18.CAN bus communication
3.Control board micro_ros basic routine
  • 1.Post a topic
  • 2.Subscribe to a topic
  • 3.Multi-topic subscription and publishing
  • 4.Subscribe to the buzzer topic
  • 5.Subscribe to the bus servo topic
  • 6.Subscribe to the rate control topic
  • 7.Release Speed Topic
  • 8.Publish IMU data topic
  • 9.Publish radar data topic
14.Main Control Course
Jetson Orin Nano_NX
  • 1.Jetson Orin board introduction
  • 2.Restore the factory image system
  • 3.Backup SSD system
  • 4.SSD expansion
  • 5.Network configuration
  • 6.SSH remote login
  • 7.VNC remote control
  • 8.Remote file transfer
  • 9.Jtop tool
  • 10.Exchange space expansion
Raspberry Pi
  • 1. Introduction to Raspberry PI 5
  • 2. Raspberry PI system installation and backup
  • 3. Powering the Raspberry PI 5
  • 4. Startup of Raspberry PI 5
  • 5. Update and upgrade operating system
  • 6. Introduction to raspi-config tool
  • 7. config.txt file description
  • 8. Network Configuration
  • 9. remote access
  • 10. Transfer files remotely
  • 11. Set display resolution and rotation
  • 12. Set screen to sleep
  • 13. Play audio and video
  • 14. Using USB camera
  • 15. Using MIPI camera
  • 16. Get real-time temperature of Raspberry Pi
RDKX5
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Network configuration
  • 6.Remote login
  • 7.Update system
  • 8.srpi-config user guide
  • 9.config. txt configuration file
  • 10.Self-startup setting
  • 11.RDK exclusive command usage
  • 12.Linux command usage
  • 13.GPIO readwrite operation
  • 14.Image classification algorithm
  • 15.Use USB camera
  • 16.Use MIPI camera
  • 17.Binocular camera depth algorithm
15.YOLOv11 Development (ORIN)
  • 1.YOLO environment construction
  • 2.CLI use
  • 3.Object detection
  • 4.Instance segmentation
  • 5.Pose estimation
  • 6.Image classification
  • 7.Oriented object detection
  • 8.Model conversion
  • 9.Dataset annotation
  • 10.Model Training_Conversion
  • 11.Model prediction
16.YOLOv11 Development(RDKX5)
  • 1.YOLO environment construction
  • 2.CLI use
  • 3.Object detection
  • 4.Instance segmentation
  • 5.Pose estimation
  • 6.Image classification
  • 7.Oriented object detection
  • 8.Model prediction
  • 9.Model Quantization
17.YOLOv11 Development (RPI)
  • 1.YOLO environment construction
  • 2.CLI use
  • 3.Object detection
  • 4.Instance segmentation
  • 5.Pose estimation
  • 6.Image classification
  • 7.Oriented object detection
  • 8.Model conversion
  • 9.Model prediction
18.Linux Operating System
  • 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
19.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
20.Docker Course
  • 1、Docker overview and docker installation
  • 2、Common commands for docker image containers
  • 3、Docker images deeply understand and publish images
  • 4、Docker hardware interaction and data processing
  • 5、Enter the bot's docker container
  • 6、Robot development environment construction in Docker
21.Image Processing Basics Course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Image cutting
  • 8. Image translation
  • 9. Image Mirroring
  • 10. Affine Transformation
  • 11. Image Rotation
  • 12. Perspective Transformation
  • 13. Grayscale processing
  • 14. Image Binarization
  • 15. Edge Detection
  • 16. Line drawing
  • 17. Rectangle and circle drawing
  • 18. Drawing text and pictures
Download
  • Mapping_APP(iOS_Android)
  • MainBoard_AI_Pure_System
  • Robot_Image_System_File
  • Code-Firmware
  • Instruction_Manual
  • VM_File
  • Software_Tools
  • Firmware_DriverFile
  • 3D_Model_File
  • ROS2_Basic_VM
  • Other_Annex
Download ZIP

Welcome to ROSMASTER M3 repository

17.USB controller remote control

USB controller remote control

USB controller remote control1. Experimental Purpose2. Hardware Connection3. Core code analysis4. Compile, download and burn firmware5. Experimental Results

 

1. Experimental Purpose

Learn to use the USB host function of the STM32 control board to receive and parse data from the USB controller.

2. Hardware Connection

As shown in the figure below, the STM32 control board integrates a USB host interface. Insert the USB handle receiver into the USB host interface on the control board. The USB handle receiver and wireless handle must be prepared by yourself.

Please connect the type-C data cable to the computer and the USB Connect port of the STM32 control board.

image-20250711105326616

Schematic diagram of wireless controller and USB controller receiver

image-20250711104933616

3. Core code analysis

The path corresponding to the program source code is:

xxxxxxxxxx
Board_Samples/STM32_Samples/USB_Host

According to the pin assignment, USB-DP is connected to PA12 and USB-DM is connected to PA11.

image-20250711110149139

According to the USB_HOST component provided by STM32CUBEIDE, configure USB to HID mode.

image-20250711112045381

Get the controller data in the USB interrupt callback function.

xxxxxxxxxx
void USBH_HID_EventCallback(USBH_HandleTypeDef *phost)
{
    // USBH_UsrLog("Product : %d", phost->device.CfgDesc.Itf_Desc[0].bInterfaceProtocol);
    
    if (phost->device.CfgDesc.Itf_Desc[0].bInterfaceProtocol == HID_KEYBRD_BOOT_CODE)
    {
        USBH_UsrLog("KeyBoard device value...");
        USBH_HID_GetKeybdInfo(phost);
    }
    else if (phost->device.CfgDesc.Itf_Desc[0].bInterfaceProtocol == HID_MOUSE_BOOT_CODE)
    {
        USBH_UsrLog("Mouse device value...");
        USBH_HID_GetMouseInfo(phost);
    }
    else if (phost->device.CfgDesc.Itf_Desc[0].bInterfaceProtocol == 0x00)
    {
        USBH_HID_GetJoystickInfo(phost);
    }
}

If the data is read successfully, the joystick_info structure data is returned.

xxxxxxxxxx
HID_JOYSTICK_Info_TypeDef *USBH_HID_GetJoystickInfo(USBH_HandleTypeDef *phost)
{
  if (USBH_HID_JoystickDecode(phost) == USBH_OK)
  {
    return &joystick_info;
  }
  else
  {
    return NULL;
  }
}

The joystick_info structure stores the current status of the controller. The data printed later is sorted in this order.

xxxxxxxxxx
typedef struct _HID_JOYSTICK_Info
{
  uint8_t left_axis_x;
  uint8_t left_axis_y;
  uint8_t right_axis_x;
  uint8_t right_axis_y;
​
  uint8_t pad_arrow:4;
  uint8_t left_hat:1;
  uint8_t right_hat:1;
  uint8_t select:1;
  uint8_t start:1;
​
  uint8_t pad_a:1;
  uint8_t pad_b:1;
  uint8_t pad_x:1;
  uint8_t pad_y:1;
  uint8_t reserved:4;
​
  uint8_t l1:1;
  uint8_t l2:1;
  uint8_t r1:1;
  uint8_t r2:1;
} HID_JOYSTICK_Info_TypeDef;

If the controller data is read and parsed successfully, the current value of the controller will be printed out.

xxxxxxxxxx
static USBH_StatusTypeDef USBH_HID_JoystickDecode(USBH_HandleTypeDef *phost)
{
  HID_HandleTypeDef *HID_Handle = (HID_HandleTypeDef *) phost->pActiveClass->pData;
  static uint32_t prev_time = 0;
​
  if (HID_Handle->length == 0U)
  {
    return USBH_FAIL;
  }
​
  /*Fill report */
  if (USBH_HID_FifoRead(&HID_Handle->fifo, &joystick_report_data, HID_Handle->length) == HID_Handle->length)
  {
    uint8_t* p = (uint8_t*)joystick_report_data;
    uint8_t is_diff=0;
​
    for(uint8_t i=0;i<HID_Handle->length/4;i++) {
        if(old_report_data[i] != joystick_report_data[i]) {
            is_diff = 1;
        }
    }
​
    if(!is_diff && ((HAL_GetTick() - prev_time) < MIN_JOY_SEND_TIME_MS)) {
        return USBH_OK;
    }
​
    prev_time = HAL_GetTick();
​
    memcpy(old_report_data, p, HID_Handle->length);
​
    #ifdef DEBUG_JOY_RAW_INFO
    print_raw_data(HID_Handle);
    #endif
​
    /*Decode report */
    joystick_info.pad_arrow = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_pad, 0U) & 0x0F;
    joystick_info.left_hat = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_hat_switch_left, 0U) ? 1 : 0;
    joystick_info.right_hat = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_hat_switch_right, 0U) ? 1 : 0;
​
    joystick_info.left_axis_x = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_x, 0U);
    joystick_info.left_axis_y = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_y, 0U);
    joystick_info.right_axis_x = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_z, 0U);
    joystick_info.right_axis_y = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_rz, 0U);
​
    joystick_info.pad_a = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_a, 0U) ? 1 : 0;
    joystick_info.pad_b = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_b, 0U) ? 1 : 0;
    joystick_info.pad_x = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_x, 0U) ? 1 : 0;
    joystick_info.pad_y = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_y, 0U) ? 1 : 0;
​
    joystick_info.l1 = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_l1, 0U) ? 1 : 0;
    joystick_info.r1 = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_r1, 0U) ? 1 : 0;
    joystick_info.l2 = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_l2, 0U) ? 1 : 0;
    joystick_info.r2 = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_r2, 0U) ? 1 : 0;
​
    joystick_info.select = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_select, 0U) ? 1 : 0;
    joystick_info.start = (uint8_t)HID_ReadItem((HID_Report_ItemTypedef *) &prop_btn_start, 0U) ? 1 : 0;
    #ifdef DEBUG_JOY_INFO
    print_joy_info(joystick_info);
    #endif
​
    return USBH_OK;
  }
​
  return USBH_FAIL;
}

Print the current status of the controller.

xxxxxxxxxx
static void print_pushed(uint8_t b)
{
    printf("%c ", b?'O':'X');
}
​
static void print_joy_info(HID_JOYSTICK_Info_TypeDef joystick_info)
{
  printf("Joy:");
  printf("%3d ", (char)joystick_info.left_axis_x);
  printf("%3d ", (char)joystick_info.left_axis_y);
  printf("%3d ", (char)joystick_info.right_axis_x);
  printf("%3d ", (char)joystick_info.right_axis_y);
  printf("%02X ", joystick_info.pad_arrow);
  print_pushed(joystick_info.left_hat);
  print_pushed(joystick_info.right_hat);
  print_pushed(joystick_info.select);
  print_pushed(joystick_info.start);
  print_pushed(joystick_info.pad_a);
  print_pushed(joystick_info.pad_b);
  print_pushed(joystick_info.pad_x);
  print_pushed(joystick_info.pad_y);
  print_pushed(joystick_info.l1);
  print_pushed(joystick_info.r1);
  print_pushed(joystick_info.l2);
  print_pushed(joystick_info.r2);
  printf("\n");
}

Define JOY_SEND_TIME_MS to manage the timeout period for printing data. If there is no key change in the handle, print once every 200 milliseconds. If there is a key change in the handle, print the value immediately.

xxxxxxxxxx
#define JOY_SEND_TIME_MS (200)

In the App_Handle function, call MX_USB_HOST_Process cyclically to process the data sent by the USB handle.

xxxxxxxxxx
void App_Handle(void)
{
    uint32_t lastTick = HAL_GetTick();
    while (1)
    {
        MX_USB_HOST_Process();
​
        if (HAL_GetTick() - lastTick >= 10)
        {
            lastTick = HAL_GetTick();
            App_Loop_10ms();
        }
    }
}

Since USB_HOST is automatically generated by the STM32CUBEIDE component, if you regenerate the code, you need to add the import of the app_joystick.h header file in the Middlewares\ST\STM32_USB_Host_Library\Class\HID\Src\usbh_hid.c file.

image-20250711120353269

4. Compile, download and burn firmware

Select the project to be compiled in the file management interface of STM32CUBEIDE and click the compile button on the toolbar to start compiling.

image-20250609174806368

If there are no errors or warnings, the compilation is complete.

image-20250609175148035

Press and hold the BOOT0 button, then press the RESET button to reset, release the BOOT0 button to enter the serial port burning mode. Then use the serial port burning tool to burn the firmware to the board.

If you have STlink or JLink, you can also use STM32CUBEIDE to burn the firmware with one click, which is more convenient and quick.

5. Experimental Results

The MCU_LED light flashes every 200 milliseconds.

Open the Serial Port Assistant (specific parameters are shown in the figure below) and you'll see data from each channel of the USB controller continuously printed out. When you manually toggle the joystick or button on the USB wireless controller, the data changes accordingly, with "X" indicating release and "O" indicating press. For the button order, see the HID_JOYSTICK_Info_TypeDef structure parameters.

image-20250711121951033

Note: If the USB wireless controller is not used for a period of time, it will enter a dormant state. At this time, you need to press the START button to activate the controller before operating the controller to see any value changes.

SBUS model aircraft remote control
CAN bus communication

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