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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

3.Control bus servo

3、Control bus servo

3、Control bus servo3.1 Experimental goals3.2 Experiment preparation3.3 Experiment procedure3.4 Experiment summary

3.1 Experimental goals

This course mainly learns how to control the rotation of the robot's 18-degree-of-freedom servo.

 

3.2 Experiment preparation

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

motor(servo_id, angle, runtime=100):Control the rotation of the robot's eighteen servos.

The parameter servo_id represents the ID number of the servo to be controlled. Each servo ID number is different. The value range of servo_id is [1, 18], which corresponds to the 18 bus servos on the robot.

The parameter angle represents the angle to which the servo is to be controlled. The value range of angle is [-90,90].

The parameter runtime is an optional parameter. The default value is 100, which indicates the time of the servo movement. Within the valid range, the smaller the value, the faster the rotation speed.

Servo_torque_on(servo_id=0):Turn on the servo torque

Servo_torque_off(servo_id=0):Turn off the servo torque.

The optional parameter servo_id represents the ID number of the servo to be controlled, and the value range is [0, 18]. When servo_id=0, it means to control the torque of all servos on or off; when servo_id=[1, 18], it means Control the steering gear torque corresponding to the ID number to open or close.

load_leg(leg):Turn on the torque of the three servos on a certain leg

unload_leg(leg):Turn off the torque of three servos on a certain leg

The parameter leg represents the ID number of the leg to be controlled. The value range of leg is [1, 6], which respectively represents the six legs of the robot.

 

The Muto robot has a total of six legs, and there are three bus servos on each leg, for a total of eighteen bus servos, which are assigned ID numbers 1-18 in sequence. The leg servo ID allocation is shown in the figure below:

image-20230807143452056

The six legs of the Muto robot are divided into two groups,leg1, leg2, and leg3 belong to the same group, which is the right leg,leg4, leg5, and leg6 belong to the same group, which is the left leg. The three legs in the same group are wired in no particular order, but the left leg must be plugged into the corresponding interface of the left group and cannot be plugged into the interface of the right leg. The left leg group interfaces are the three interfaces close to the PWM servo interface, and the right leg group are the three interfaces close to the DC5V interface.

Leg connection diagram:

image-20230807165805958

3.3 Experiment procedure

Open the jupyterLab client and find the code path:

muto/Samples/Control/3.control_motor.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 = {
    'End': ("End", "结束"),
    'torque_on': ("torque_on", "打开扭矩"),
    'torque_off': ("torque_off", "关闭扭矩")
}

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

image-20220810163917767

You can control different functions by operating different controls separately.

image-20230807175809112

The Runtime slider mainly controls the movement time of the bus servo.

xxxxxxxxxx
def on_slider_runtime(value):
    global g_bot, g_runtime
    g_runtime = value
    print("runtime:", value)

According to the ID number of the servo, the servo of each leg is controlled by a slider. Changing the value of the corresponding slider can control the servo of the corresponding ID.

xxxxxxxxxx
def on_slider_S1(angle):
    print("LEG1 S1:", angle)
    g_bot.motor(1, angle, g_runtime)
def on_slider_S2(angle):
    print("S2:", angle)
    g_bot.motor(2, angle, g_runtime)
def on_slider_S3(angle):
    print("S3:", angle)
    g_bot.motor(3, angle, g_runtime)

The event processing of turning on and off the servo torque button is as follows.

xxxxxxxxxx
# 按键按下事件处理   Key press event processing
def on_button_clicked(b):
    with output:
        print("Button clicked:", b.description)
    if b.description == Name_widgets['torque_on'][g_ENABLE_CHINESE]:
        g_bot.Servo_torque_on()
    elif b.description == Name_widgets['torque_off'][g_ENABLE_CHINESE]:
        g_bot.Servo_torque_off()

 

3.4 Experiment summary

This time, the JupyterLab control is used to control the bus servo of the hexapod robot. The bus servo has been limited in the program, and the servo movement can be controlled by sliding the slider corresponding to the ID.

When you need to turn off the torque of the servo, please click torque_off to turn off the torque. At this time, you cannot control the servo through the slide bar. You can turn the servo by hand. Click the torque_on button to restore the servo torque.

image-20230823152748185

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

 

Control PWM servo
Robot forward and backward

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