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Transbot SE📖
01.Introduction to Transbot SE
  • 01. Introduction to Transbot SE
  • 02. Precautions for use and battery safety
  • 03. First Trial
02.First Trial
  • 2.1.APP control
  • 2.2.USB wireless handle control(Optional)
  • 2.3.Handle video control Transbot(Optional)
  • 2.4.Network configuration tutorial in hotspot mode
03.Hardware control course
  • 3.1About expansion board and update firmware
  • 3.2.Close self-starting process
  • 3.3.Install Transbot library
  • 3.4.Control buzzer and button
  • 3.5.Control PWM servo
  • 3.6.Control bus servo
  • 3.7.Control motor
  • 3.8.Control robot movement
04.Linux operating system
  • 1. Virtual machine installation and use
  • 2. Linux basics
  • 3. Remote control
  • 4. Multi-machine communication configuration
  • 5. Static IP and hotspot mode
  • 6. Web page real-time monitoring
  • 7. Expansion tutorial
  • 8. Write system images
05.Docker couse(For Pi5)
  • 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.Start the transbot se container
06.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
07.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. MediaPipe development
08.ROS robot course
  • 1.PID algorithm
  • 2.Basic communication
  • 3.Keyboard control
  • 4.Handle control(Optional)
  • 5.Robot state estimation
  • 6.Data calibration
09.ROS simple camera course
  • 1.HD camera calibration
  • 2.HD camera color tracking
  • 3.HD camera color tracking (robotic arm)
  • 4.HD camera object tracking
  • 5. KCF target tracking
  • 6.HD camera face tracking
  • 7.HD camera robotic arm carrying
  • 8.HD camera Autopilot
10.ROS robotic arm control tutorial
  • 1.MoveIt configuration
  • 2.MoveIt control the real machine
  • 3.MoveIt moves randomly
  • 4.MoveIt kinematics design
  • 5.MoveIt cartesian path
  • 6.MoveIt avoiding
  • 7.MoveIt scene design
  • 8.MoveIt trajectory planning
  • 9.Mediapipe palm control car
  • 10.Mediapipe gesture control robotic arm
  • 11.Mediapipe gesture control car
  • 12.Mediapipe arm attitude control robotic arm
11.ROS multi-robot control(Optional)
  • 1. Multi-robot control(Optional)
  • 2. Multi-robot queue performance(Optional)
  • 3. Multi-robot robot arm dancing(Optional)
12.Deep learning courses
  • 1.KNN recognizes handwritten digits
  • 2.Basic use of TensorFlow
  • 3.Basic use of PyTorch(jetson)
  • 4.yolov5 model training(jetson)
  • 5.yolov5+tensorrt acceleration(jetson)
  • 6.yolov4-tiny
13.Installation Video
  • Part18
  • Part1-6
  • Part7-12
  • Part13.1-13.3.3
  • Part13.4.1-17
14.FAQnew
  • 1.Using your own Jetson board,Transbot-SE cannot start normally
Download
  • APP(iOS/Android)
  • System_File-Pi5
  • System_File-Pi4
  • System_File-Jetson
  • VM_File
  • Appendix
  • Code
  • InstructionManual
  • Jetson_Boot_USB.tar.gz
  • Hardware_Info
Download ZIP

Welcome to Transbot SE repository

3.7.Control motor

Control motor

Control motor1. Experimental goals2. Experiment preparation3. Experimental results3.1jetson motherboard/Raspberry Pi 4B3.2 Raspberry Pi 54. Program source code

1. Experimental goals

Control the forward and reverse rotation of the motor on the Transbot SE, and control the movement speed of the motor by controlling the PWM duty cycle of the motor.

2. Experiment preparation

The position of the red box in the picture below is the interface of motor MOTOR A on the left and motor B on the right. The motor interface has an anti-reverse connection function and can be connected to the motor using the Transbot SE motor cable.

image-20210906141501536

Transbot_Lib library function needed to control the motor of Transbot SE:

set_motor(index, speed)

Parameter explanation: Control the motor PWM pulse to control the motor speed. This function does not use the encoder speed measurement function.

index: Corresponding ID number: MOTOR_A = 1, MOTOR_B= 2, speed: Control the motor speed.

index=[1, 2], speed=[-100, 100]

Return value: None.

3. Experimental results

Since this function controls the rotation of the motor by modifying the PWM duty cycle, it can only be used to test whether the motor is working normally. This function is rarely used in actual use.

3.1jetson motherboard/Raspberry Pi 4B

Please view the course video.

3.2 Raspberry Pi 5

Enter docker

Note: If you have a terminal that automatically starts docker, you can directly enter the temp directory in docker to view it. There is no need to manually start docker

Start docker manually

xxxxxxxxxx
./run_docker.sh

Run jupyter lab program

xxxxxxxxxx
cd
xxxxxxxxxx
jupyter lab --allow-root

 

Taking the current IP address 192.168.2.118 as an example, open the browser of Raspberry Pi 5 or enter in the browser of your computer

xxxxxxxxxx
192.168.2.118:8889

Enter the jupyter lab login interface after pressing Enter, enter the password yahboom, and then click login

Enter the Transbot/Samples directory

Double-click the code you want to run

Restart the kernel and clear all output before running

Click on the first code block, then click the run button to start running one by one

4. Program source code

Turn on the power of the Transbot SE robot, and open Jetson Nano or the browser of the remote computer to enter the Jupyter lab editor.

Reference code path: Transbot/Samples/5.motor.ipynb

Control bus servo
Control robot movement

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