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ROSMASTER X3 Plus📖
1.Preparation and First Trial
  • 1.1 Wiring Introduction
  • 1.2 Precautions for battery
  • 1.3 First Trial
  • 1.4 Precautions for DIY Robotic Arm
2. Assembly steps
  • Installation Video
3.Remote control course
  • 3.1 APP remote control
  • 3.2 Model aircraft remote control
  • 3.3 Handle remote control
4.Hardware course
  • 4.1 About expansion board_V3.0
  • 4.1 About expansion board_V1.0
  • 4.2 STM32 Development
  • 4.3 Button to control the buzzer
  • 4.4 FreeRTOS application
  • 4.5 Serial communication
  • 4.6 SBUS model aircraft remote control
  • 4.7 CAN bus communication
  • 4.8 RGB colorful light bar
  • 4.9 Timer interrupt to control
  • 4.10 Control serial port servos
  • 4.11 Nine-axis attitude sensor
  • 4.12 Control motor
  • 4.13 Timer captures the encoder data
  • 4.14 Kinematic Analysis
  • 4.15 PID control robot movement
5.Basic course
  • 5.1 Update the firmware
  • 5.2 Turn off the self-starting process
  • 5.3 Install the Rosmaster driver
  • 5.4 Buzzer whistle
  • 5.5 Control PWM servo
  • 5.6 RGB colorful light bar
  • 5.7 Control motor
  • 5.8 Control robot movement
  • 5.9 Control Serial Servo
6.Linux operating system
  • 6.1 Virtual machine installation
  • 6.2 Linux basics
  • 6.3 Remote control
  • 6.4 Multi-machine communication
  • 6.5 Static IP and hotspot mode
  • 6.6 Bind the device ID
  • 6.7 Web page real-time monitor
  • 6.8 Expansion tutorial
  • 6.9.1 Jetson Nano write sytem
  • 6.9.2 Jetson Xavier NX write system
  • 6.9.3 Jetson TX2 NX write system
  • 6.9.4 Raspberry Pi write system
7.Docker-Just for pi5
  • 7.1 Docker overview and docker installation
  • 7.2 Common commands for docker image containers
  • 7.3 Docker images deeply understand and publish images
  • 7.4 Docker hardware interaction and data processing
  • 7.5 Enter the bot's docker container
  • 7.6 Robot development environment construction in Docker
  • 7.7 How customers can update docker images in the future
8.ROS basic course
  • 8.1 ROS introduction
  • 8.2 ROS installation
  • 8.3 ROS common command tools
  • 8.4 ROS workspace
  • 8.5 ROS function package
  • 8.6 ROS node
  • 8.7 ROS topic publisher
  • 8.8 ROS topic subscribers
  • 8.9 ROS service client
  • 8.10 ROS service server
  • 8.11 ROS action client
  • 8.12 ROS action server
  • 8.13 ROS custom message reception
  • 8.14 ROS-launch file
  • 8.15 ROS-TF transformation
  • 8.16 ROS parameter service
  • 8.17 ROS-rviz use
  • 8.18 ROS-rqt tool usage
  • 8.19 Topic message recording and playback
  • 8.20 urdf model introduction
  • 8.21 gazebo introduction
  • 8.22 ROS distributed communication
9.OpenCV courses
  • 9.1 Getting started with Open Source CV
  • 9.2 Geometric transformation
  • 9.3 Image processing and draw
  • 9.4 Image beautification
  • 9.5 Opencv application
  • 9.6 AR vision
  • 9.7 AR QR code
  • 9.8 ROS+Opencv foundation
  • 9.9 ROS+Opencv application
  • 9.10 Data transformation
  • 9.11 MediaPipe development
10.Robot control course
  • 10.1 PID algorithm theory
  • 10.2 Robot PID debugging
  • 10.3 Robot information release
  • 10.4 Robot keyboard control
  • 10.5 Robot handle control
  • 10.6 Robot state estimation
  • 10.7 Robot calibration
  • 10.8 Robot URDF model
11.Depth camera course
  • 11.1 How to use the Astra camera
  • 11.2 Astra camera calibration
  • 11.3 Astra Color Tracking
  • 11.4 Astra Object Tracking
  • 11.5 Visual tracking autopilot
  • 11.6 Pure visual 2D mapping
  • 11.7 RTAB-Map 3D mapping
  • 11.8 ORB_SLAM2 basics
  • 11.9 ORB_SLAM2_Octomap
12.Lidar course
  • 12.1 Lidar basic-SLAM
  • 12.1 Lidar basic-EAI
  • 12.2 Lidar avoiding
  • 12.3 Lidar guard
  • 12.4 Lidar follow
  • 12.5 Patrol game
  • 12.6 gmapping mapping algoritm
  • 12.7 hector mapping algorithm
  • 12.8 karto mapping algorithm
  • 12.9 cartographer mapping
  • 12.10 rrt_exploration mapping
  • 12.11 AMCL
  • 12.12 Navigation and avoiding
  • 12.13 APP mapping and navigation
13.Multi-robot control course
  • 13.1 Multi-machine handle control
  • 13.2 Multi-machine navigation
  • 13.3 Multi-machine formation
  • 13.4 Multi-machine surround
14.Deep learning courses
  • 14.1 KNN recognizes handwritten
  • 14.2 Basic use of TensorFlow
  • 14.3 Basic use of PyTorch(jetson)
  • 14.4 yolov5 model training(jetson)
  • 14.5 yolov5+tensorrt acceleration
  • 14.6 yolov4-tiny
15.Voice control courses
  • 0. How to use old voice module in new image
  • 15.1 Introduction of voice control-new
  • 15.2 Voice control module port-new
  • 15.3.Introduction of voice module-old
  • 15.4.Voice control module port binding-old
  • 15.5 Voice control car movement
  • 15.6 Voice control Autopilot
  • 15.7 Voice control color recogzition
  • 15.8 Voice control color tracking
  • 15.9 Voice control multi-point nagavation
16.Robotic arm control course
  • 16.1 MoveIt configuration
  • 16.2 MoveIt control the real machine
  • 16.3 MoveIt moves randomly
  • 16.4 MoveIt kinematics design
  • 16.5 MoveIt cartesian path
  • 16.6 MoveIt avoiding
  • 16.7 MoveIt scene design
  • 16.8 MoveIt trajectory planning
  • 16.9 Mediapipe palm control car
  • 16.10 Mediapipe gesture control robotic arm
  • 16.11 Mediapipe gesture control car
  • 16.12 Mediapipe arm attitude control robotic arm
  • 16.13 Mediapipe recognizes and tracks palm control robotic arm
  • 16.14 Recognizes color block and handling
  • 16.15 Autopilot to clear obstacles
17.Voice control robotic arm course
  • 17.1 Voice control robotic arm movement
  • 17.2 Voice control robotic arm learning
  • 17.3 Voice control color block transport
  • 17.4 Voice control robotic arm grip objects
  • 17.5 Voice control robotic arm garbage sorting
18.Model training Autopilot
  • 18.0 ReadMe
  • 18.1 yolov5 to train traffic signs
  • 18.2 TensorRt acceleration identification mark
  • 18.3 Road sign indication function description
  • 18.4 Collect data
  • 18.5 Training model
  • 18.6 Model transformation and application
  • 18.7 AI Autopilot
19.For Orin-Remote control course
1. APP control
  • 1. APP control
  • 2. Model aircraft control
  • 3. Handle control
2. Model aircraft control
3. Handle control
20.Orin-Hardware course
  • 1. About expansion board_V1.0
  • 1. About expansion board_V2.0
  • 2. STM32 Development environment
  • 3. Button control
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model aircraft remote control
  • 7. CAN bus communication
  • 8. RGB colorful light bar
  • 9. Timer interrupt to control PWM servo
  • 10. Control serial port servos
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor
  • 13. Timer captures the encoder data
  • 14. Robot kinematics analysis theory
  • 15. PID control robot movement
21.Orin-Basic course
  • 1. Update the firmware
  • 2. Turn off the self-starting process at startup
  • 3. Install the Rosmaster driver library
  • 4. Buzzer whistle
  • 5. Control PWM servo
  • 6. RGB colorful light bar special effects display
  • 7. Control motor
  • 8. Control robot movement
  • 9. Control Serial Servo
22.Orin-Linux operating systemnew
  • 1. Virtual machine installation and use
  • 2. Linux basics
  • 3. Remote control
  • 4. Multi-machine communication configuration
  • 5. Static IP and hotspot mode
  • 6. Bind the device ID
  • 7. Web page real-time monitoring
  • 8. Expansion tutorial
  • 9.1 Jetson Nano write sytem
  • 9.2 Jetson Xavier NX write system
  • 9.3 Jetson TX2 NX-Orin series write system
  • 9.4 Raspberry Pi write system
  • 10.Jetpack old system upgraded to SUPER system
23.Orin-Dockernew
SUPER image uses ros environment in docker
  • 1、Docker overview and docker installationnew
  • 2、Common commands for docker image containersnew
  • 3、Docker images deeply understand and publish imagesnew
  • 4、Docker hardware interaction and data processingnew
  • 5、Enter the bot's docker containernew
  • 6、Robot development environment construction in Dockernew
23.Orin-ROS basic course
  • 1.ROS introduction
  • 2.Project file structure
  • 3.Common commands and tools
  • 4.Publisher
  • 5.Subscribers
  • 6.Customize topic messages and use
  • 7.Client
  • 8.Server
  • 9.Custom service messages and usage
  • 10.TF release and monitoring
24.Orin-OpenCV courses
  • 1. Getting started with Open Source CV
  • 2. Open Source CV geometric transformation
  • 3. Open Source CV image processing and drawing text line segments
  • 4. Open Source CV image beautification
  • 5. Opencv application
  • 6. AR vision
  • 7. AR QR code
  • 8. ROS+Opencv foundation
  • 9. ROS+Opencv application
  • 10. Data transformation and point cloud
  • 11. MediaPipe development
25.Orin-Robot control course
  • 1.PID algorithm theory
  • 2.Robot PID debugging
  • 3.Robot information release
  • 4.Robot keyboard control
  • 5.Robot handle control
  • 6.Robot state estimation
  • 7.Robot calibration
  • 8.Robot URDF model
26.Orin-Depth camera course
  • 01.How to use the Astra camera
  • 02.Astra camera calibration
  • 03.Astra Color Tracking
  • 04.Astra Object Tracking
  • 05.Visual tracking autopilot
  • 06.Pure visual 2D mapping and navigation
  • 07.RTAB-Map 3D mapping navigation
  • 08.ORB_SLAM2 basics
  • 09.ORB_SLAM2_Octomap
27.Orin-Lidar course
  • 1.Lidar basic-4ROS-EAI
  • 1.Lidar basic-SLAM
  • 2.Lidar avoiding
  • 3.Lidar guard
  • 4.Lidar follow
  • 5.Patrol game
  • 6.gmapping mapping algorithm
  • 7.hector mapping algorithm
  • 8.karto mapping algorithm
  • 9.cartographer mapping algorithm
  • 10.rrt_exploration mapping algorithm
  • 11.AMCL
  • 12.Navigation and avoiding
  • 13.APP mapping and navigation
28.Orin-Multi-robot control course
  • 1.Multi-machine handle control
  • 2.Multi-machine navigation
  • 3.Multi-machine formation
  • 4.Multi-machine surround
29.Orin-Deep learning courses
  • 1.KNN recognizes handwritten digits
  • 2.Basic use of TensorFlow
  • 3.Basic use of PyTorch(jetson)
  • 4.YOLOv11Model conversion(SUPER)new
  • 5.YOLOv11Dataset annotation(SUPER)new
  • 6.YOLOv11Model conversion + tensorrt acceleration(SUPER)new
  • 7.YOLOv11Object recognition(SUPER)new
30.Orin-Voice control courses
  • 0. How to use old voice module in new image
  • 1.1 Introduction of voice module-new
  • 1.2 Introduction of voice module-old
  • 2.1 Voice control module port binding-new
  • 2.2 Voice control module port binding-old
  • 3. Voice control car movement
  • 4. Voice control Autopilot
  • 5. Voice control color recognition
  • 6. Voice control color tracking
  • 7. Voice control multi-point navigation
31.Orin-Robotic arm control course
  • 1.MoveIt configuration(VM)
  • 2.MoveIt control the real machine(VM)
  • 3.MoveIt moves randomly(VM)
  • 4.MoveIt kinematics design(VM)
  • 5.MoveIt cartesian path(VM)
  • 6.MoveIt avoiding(VM)
  • 7.MoveIt scene design(VM)
  • 8.MoveIt trajectory planning(VM)
  • 9.Mediapipe palm control car
  • 10.Mediapipe gesture control robotic arm
  • 11.Mediapipe gesture control car
  • 12.Mediapipe arm attitude control robotic arm
  • 13.Mediapipe recognizes and tracks palm control robotic arm
  • 14.Recognizes color block and handling
  • 15.Autopilot to clear obstacles
32.Orin-Voice control robotic arm course
  • 1.Voice control robotic arm movement
  • 2.Voice control robotic arm learning
  • 3.Voice control color block transport
  • 4.Voice control robotic arm grip objects
  • 5.Voice control robotic arm garbage sorting
LLM tutorial
1.Development environment
  • 0. Model usage instructions
  • 1.Environments deployment
  • 2.Dialogue platform installation
2.Jetson Nano B01
  • 1.Qwen2 model
  • 2.TinyLlama model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.Orca Mini model
  • 6.StarCoder2 model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA-Phi3
3.Jetson Orin NXNANO
  • 1.Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Codellama model
  • 7.DeepSeek-R1 model
  • 8.Orca Mini model
  • 9.StarCoder2 model
  • 10.TinyLlama model
  • 11.Expand LLaVA
  • 12.Expand LLaVA-Phi3
4.Raspberry Pi 5B
  • 1.Meta AI Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Meta AI Codellama model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA
FAQ
  • Using your own Jetson board, car cannot start normally
Download
  • RemoteCtrl_APP(iOS/Android)
  • Mapping_APP(iOS_Android)
  • SystemFile_OrinNANOSUPER
  • SystemFile_OrinNXSUPER
  • SystemFile_RPi_NANO
  • Instruction Manual
  • Code
  • Autopilot Annex
  • VM software
  • Jetson_Boot_USB.tar.gz
  • Other_Annex_File
Download ZIP
FAQ
  • 1、How to connect OLED?
  • 2、Precautions for DIY Robotic Arm

Welcome to ROSMASTER X3 Plus repository

4.2 STM32 Development

2. STM32 development environment

2. STM32 development environment 2.1. Introduction to STM32CubeIDE 2.2. download the installation package 2.3. start the installation 2.4. New construction 2.5. pin configuration 2.6. write code 2.7. Compiler 2.8. Burn program 2.9. Program phenomenon

2.1. Introduction to STM32CubeIDE

STM32CubeIDE is an all-in-one multi-OS development tool, an advanced C/C++ development platform with peripheral configuration, code generation, code compilation and debugging functions for STM32 microcontrollers and microprocessors. It is based on the Eclipse®/CDT™ framework and GCC toolchain for development, and GDB for debugging, selects an STM32 microprocessor and then creates a project and generates initialization code, supports graphical configuration of STM32 clocks and pins, etc. Content, support Windows, Linux, Mac mainstream platforms, very powerful and practical.

2.2. download the installation package

Open the following link with a computer browser:

https://www.st.com/en/development-tools/stm32cubeide.html

According to the download of the computer system, here we take the installation of version 1.9.0 in the Win10 system as an example, select the latest version to download.

If you have an account on my.st.com, you can log in directly and download the software. If you don't want to log in now, simply provide your name and email address in the form below to download the software.

image-20220309100601767

2.3. start the installation

Double-click to open the installation package. Then just follow the tutorial.

image-20220309100702670

image-20220309100727187

The installation path can be modified according to the actual situation, be careful not to have Chinese.

image-20220309100759937

Check the driver, and then click Install to install.

image-20220309100939458

Then wait for the installation to complete.

image-20220309101409033

2.4. New construction

  1. Double-click the shortcut on the desktop to open STM32CubeIDE. You need to select a workspace. The save path can be selected according to the actual path (do not bring Chinese).

image-20220309101938781

image-20220309103807055

  1. Click File->New->STM32 Project.

image-20220309103950961

  1. Search and select the chip STM32F103RCT6, then click Next in the lower right corner to enter the next step.

image-20220309104523552

  1. Enter the project name, take LED as an example here, other parameters can be defaulted.

image-20220309104753828

  1. Click Yes, and the graphical content will be loaded.

image-20220309104926020

After completion, it will look like the following picture:

image-20220309105514825

2.5. pin configuration

  1. First need Debug information, click SYS->Debug under Pinout&Configuration and select Serial Wire.

image-20220309111832426

  1. Modify the system clock of STM32. According to the schematic diagram, the external crystal oscillator is 8M frequency.

image-20220309110118096

Select RCC->HSE in Pinout&Configuration and select Crystal/Ceramic Resonator. The HSE is the external clock, and the LSE is the internal clock. Using the external clock can be more stable and efficient than the internal clock.

image-20220309110240836

Switch to Clock Configuration to modify the frequency of HCLK to 72, and press Enter to confirm.

image-20220309110757303

image-20220309110728487

  1. Increase the LED pin configuration. It can be seen from the schematic diagram that the LED is connected to the PC13 pin.

image-20220309112325122

Set the PC13 pin to GPIO_Output, and modify the Label to LED for convenience.

image-20220309112613410

Then press Ctrl+S to save, tick Remember my decision, and click Yes. This will automatically generate the code every time you save.

image-20220309112812784

image-20220309112931421

2.6. write code

  1. Since the initialization code of the system has been generated by the graphical configuration in the previous step, we only need to add the functions to be implemented.

Find the main function in the main.c file, and add the content to control the LED light under while(1). The function is that the LED light flashes every 200 milliseconds. Press Ctrl+S to save the code.

image-20220309114143099

Note: The code content needs to be added between USER CODE BEGIN and USER CODE END. Otherwise, the content of the code will be overwritten after the code is generated by the graphical tool next time, and the content added between USER CODE BEGIN and USER CODE END will not be overwritten. Don't write Chinese comments in it, there may be garbled characters.

2.7. Compiler

  1. Add the function of generating HEX files.

Click Project->Properties->C/C++ Build->Settings->MCU Post build outputs in turn, and then check the box before Convert to Intel Hex file(-O ihex), as shown in the following figure.

image-20220401105445775

image-20220401105123327

  1. Click the hammer in the toolbar to start compiling the project.

image-20220401105951706

STM32CubeIDE will pop up the Console console and see 0 errors in compilation, and 0 warnings means the compilation is successful. As shown in the figure below, the file name generated by the project is LED.hex, and this file is saved in the Debug folder of the project directory.

image-20220401110314069

2.8. Burn program

  1. Install the CH340 driver

Since the USB communication of the Rosmaster expansion board uses the CH340 chip, the driver of the CH340 chip needs to be installed. If the computer has already installed the CH340 driver, there is no need to install it again.

Unzip the [Uart drive (CH340).zip] in the course materials, double-click to open the CH341SER.EXE program

img

Click Install. After the installation is complete, you will be prompted that the installation was successful.

image-20220518182102920

  1. Download the burning software

This time burning Rosmaster expansion board microcontroller firmware requires mcuisp (or flymcu) burning software, please go to http://www.mcuisp.com website to download mcuisp (or flymcu) burning software; you can also use the data provided directly mcuisp software.

The mcuisp software is a green version software, which does not need to be installed. Double-click to open it to use.

  1. Connect the device

Before connecting the Rosmaster to the computer, please unplug the Micro USB data cable and power cable connecting the expansion board to the Jetson Nano.

Insert one end of the USB data cable into the USB port of the computer, and the other end into the Micro USB port of the Rosmaster expansion board.

image-20220401112853890

  1. Configure the burning software

image-20220518183424715

When searching for a serial port, if there are multiple serial port numbers, it is not confirmed which one is the Rosmaster. Solution 1: Unplug other USB ports and search again; Solution 2: First unplug the Rosmaster USB data cable, click Search Serial Port, write down the searched serial port number, insert the Rosmaster USB data cable, search the serial port again, and compare before and after Twice, the newly added serial port number is the serial port number of the Rosmaster.

When selecting firmware, you need to select the LED.hex file in the Debug folder of the project directory.

The last is the configuration selection at the bottom. Be sure to select the option of [DTR low-level reset, RTS high-level into BootLoader] option, otherwise the download may fail.

  1. Burn program

Please put the microcontroller on the expansion board into the programming mode first:

First press and hold the BOOT0 key on the expansion board, then press the RESET key, and finally release the BOOT0 key.

image-20220519092505207

Click [Start Programming], and the mcuisp burning software will burn the firmware we selected in the previous step to the microcontroller on the Rosmaster expansion board. When the prompt appears on the right side [www.mcuisp.com:Mission Complete,Anything Ok!!!], it means that the download is successful.

Notice:

①Before starting programming, please confirm that the serial port number of the Rosmaster is accessible, that is, there is no serial port assistant occupying it.

②Rosmaster enters the burning mode operation, first press and hold the BOOT0 key on the expansion board, then press the RESET key, and finally release the BOOT0 key.

2.9. Program phenomenon

The LEDs on the expansion board flash every 200ms.

About expansion board_V1.0
Button to control the buzzer

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