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Muto S2 Robot📖
1.Introduction to Muto Robot
  • 1.Introduction to Muto Robot
  • 2.Accessories introduction
  • 3.Precautions for battery
  • 4.FAQ
2.Assembly and write system
  • 1.Raspberry Pi write system
  • 2.Jetson Nano write sytem
  • 3. Robot assembly tutorial
  • 4. Installation Video Part1-Part5
  • 4. Installation Video Part6-Part10
3.Remote control course
  • 1.Close APP control process
  • 2.Mobile APP remote control tutorial
  • 3.USB wireless handle remote control
4.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
5.JupyterLab course
  • 1.ReadMe before operate
  • 2.Environment setup
  • 3.Basic usage tutorial
  • 4.Widgets configuration
  • 5.Widgets controls use
6.Jetson NANO course
  • 1.About JetsonNano system
  • 2.Network configuration and Jtop
  • 3.swap space increased
  • 4.API usage of GPIO library
  • 5.Hardware library configuration
  • 6.Pin reading function
  • 7.Pin level output control
  • 8.Control LED
  • 9.Jetson Nano communicates with external device serial ports
  • 10.jetson nano I2C communication
7.Raspberry Pi course
  • 1.Python usage
  • 2.Use APT to install Python packages
  • 3.Python virtual environment
  • 4.GPIO Zero
  • 5.Pin output high and low levels
  • 6.Pin reads high and low levels
  • 7.Pin output PWM
  • 8.Serial communication
  • 9.I2C communication
8.Robot basic course
  • 1.Control buzzer
  • 2.Control PWM servo
  • 3.Control bus servo
  • 4.Robot forward and backward
  • 5.Robot move left and right
  • 6.Robot rotate left and right
  • 7.Control height
  • 8.Control head
  • 9.Action group performance
  • 10.Read data
  • 11.Host computer control
  • 12.Camera driver
9.Open Source CV course
  • 1.Introduction to Open Source CV
  • 2.Image reading and display
  • 3.Picture writing
  • 4.Image Quality
  • 5.Pixel operations
  • 6.Image zoom
  • 7.Picture cut
  • 8.Picture pan
  • 9.Picture mirroring
  • 10.Affine transformation
  • 11.Picture rotation
  • 12.perspective transformation
  • 13.Grayscale processing
  • 14.Binary image
  • 15.Edge green detection
  • 16.Line segment drawing
  • 17.Rectangular circle drawing
  • 18.Text and picture drawing
7.AI vision course
  • 0.Color HSV value calibration
  • 1.Color recognition
  • 2.Color tracking
  • 3.Color following
  • 4.Color recognition action group
  • 5.Face detection
  • 6.Face tracking
  • 7.Greet people
  • 8.QR code recognition
  • 9.QR code instructions
  • 10.visual line following
  • 11.Motion learning
  • 12.Teach pendant synchronized action
8.Machine deep learning
  • 1.KNN
  • 2.TensorFlow basic tutorial
  • 3.Basic use of PyTorch
  • 4.Yolov5 detects objects in real time
  • 5.Jetson-inference environment construction(selective viewing)
  • 6.Object detection and action
  • 7.Body movement control robot
  • 8.Gesture controlled robot
Remote login control
  • 1. VNC and SSH remote login
  • 2. Jupyter lab login and case code running
9.FAQnew
  • Using your own Jetson board, Muto S2 cannot start normally
Download
  • APP(iOS/Android)
  • SystemFile_For_RPi5
  • System_for_RPi4
  • System_for_JetsonNANO
  • Hardware and protocol
  • Instruction manual
  • Jetson_Boot_USB.tar.gz
Download ZIP

Welcome to Muto S2 Robot repository

4.Robot forward and backward

4.Robot forward and backward

4.Robot forward and backward1.Experimental purpose2.Experimental preparation3.Experimental process4.Experiment summary

1.Experimental purpose

This course mainly learns how to control the forward, backward and stop functions of the robot.

2.Experimental preparation

The functions of the Muto hexapod robot Python library involved in this course are:

forward(step): Go forward, step is the width of the step, the greater the effective value, the greater the width of each step. The value range of step is [10, 25].

back(step): Go back, step is the width of the step, the larger the effective value, the larger the width of each step. The value range of step is [10, 25].

stop(): Stop movement.

reset(): Reset the robot and the robot will stand in the initial posture.

speed(level): Controls the speed of robot movement. The value range of level is [1-5]. The larger the value, the faster the movement frequency.

 

3.Experimental process

Open the jupyterLab client and find the code path:

muto/Samples/Control/4.forward_back.ipynb

By default g_ENABLE_CHINESE=False, if you need to display Chinese, please set g_ENABLE_CHINESE=True.

x
# 中文开关,默认为英文 Chinese switch. The default value is English
g_ENABLE_CHINESE = False

Name_widgets = {
    'Stop': ("Stop", "停止"),
    'Forward': ("Forward", "前进"),
    'Backward': ("Backward", "后退"),
    'End': ("End", "结束")
}

Click to run all cells, and then scroll to the bottom to see the generated controls.

image-20220810163917767

Click different buttons to correspond to different functions.

image-20231024180835596

Every time a button is clicked, the corresponding function will be executed. Key event processing:

xxxxxxxxxx
# 按键按下事件处理   Key press event processing
def on_button_clicked(b):
    ALL_Uncheck()
    b.icon = 'check'
    with output:
        print("Button clicked:", b.description)
    if b.description == Name_widgets['Stop'][g_ENABLE_CHINESE]:
        g_bot.stop()
        b.icon = 'uncheck'
    elif b.description == Name_widgets['Forward'][g_ENABLE_CHINESE]:
        g_bot.forward(g_step)
    elif b.description == Name_widgets['Backward'][g_ENABLE_CHINESE]:
        g_bot.back(g_step)

The variable g_step is controlled by the Step slider. When the value of the slider changes, it will detect which button has been pressed, and the value of g_step will be updated immediately to the robot.

xxxxxxxxxx
def on_slider_step(value):
    global g_step
    g_step = value
    if button_forward.icon == 'check':
        g_bot.forward(g_step)
    elif button_backward.icon == 'check':
        g_bot.back(g_step)
    print("step:", value)

The robot's movement speed is controlled by the Speed slider. When the slider value changes, the robot's movement speed is immediately updated.

xxxxxxxxxx
def on_slider_speed(value):
    global g_bot
    g_bot.speed(value)
    print("speed:", value)

 

4.Experiment summary

This time, JupyterLab control is used to control the forward, backward and stop functions of the six-legged robot. For example, set Step to 20, Speed to 2, and then click the Forward button, the six-legged robot will move forward. At this time, the Forward button will be ticked, and the pressed command will be prompted below the control. At this time, if you change the value of the Step or Speed slider, you can see the robot's step width and speed change.

When you need to stop, please click the Stop button to stop.

image-20231024180835596

To exit the program, press the End button to exit the program.

 

Control bus servo
Robot move left and right

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