Stufin
Home Quick Cart Profile

4WD Four Wheel Drive Kit - A Smart Robot Car with Chassis

Buy Now

Component Name

4WD Four Wheel Drive Kit - A Smart Robot Car with Chassis

Overview

The 4WD Four Wheel Drive Kit is a comprehensive robotic car chassis designed for building intelligent robots, robotic platforms, and automation projects. This kit provides a robust and sturdy foundation for creating advanced robotic systems, allowing developers to focus on integrating various sensors, microcontrollers, and other components to create a fully functional smart robot.

Functionality

The 4WD Four Wheel Drive Kit is designed to provide a reliable and efficient mobility platform for robotic applications. The kit's primary function is to enable the robot to move freely in various environments, including rough terrain, while maintaining stability and control. The four-wheel drive system ensures that the robot can navigate through challenging surfaces, making it an ideal solution for applications such as

Autonomous navigation

Obstacle avoidance

Object tracking

Environmental monitoring

Surveillance

Key Features

  • Sturdy Chassis: The kit features a durable and ruggedized chassis made of high-quality aluminum alloy, providing excellent protection for the onboard components and ensuring the robot's stability.
  • Four-Wheel Drive System: The kit is equipped with a powerful four-wheel drive system, allowing the robot to move efficiently and effectively in various environments.
  • High-Torque Motors: The kit includes four high-torque DC motors, each capable of delivering a substantial amount of power to ensure smooth and reliable movement.
  • Adjustable Suspension: The suspension system is adjustable, allowing developers to fine-tune the kit to suit specific application requirements.
  • Universal Mounting System: The kit features a universal mounting system, making it easy to integrate various sensors, microcontrollers, and other components.
  • Modular Design: The kit's modular design enables easy assembly, disassembly, and modification, making it an ideal solution for prototyping and development.
  • Compatibility: The kit is compatible with a wide range of microcontrollers, including Arduino, Raspberry Pi, and other popular platforms.
  • Power Supply: The kit includes a dedicated power supply system, allowing developers to power their projects efficiently.

Chassis Material

Aluminum Alloy

Chassis Dimensions

320mm x 240mm x 120mm

Wheel Size

120mm diameter, 60mm width

Motor Type

High-Torque DC Motor

Motor Power

12V, 5A per motor

Suspension Type

Adjustable coil spring

Mounting System

Universal mounting system with M3 and M4 threads

Weight

Approximately 1.5 kg (without additional components)

Applications

The 4WD Four Wheel Drive Kit is suitable for a wide range of applications, including

Robotics and automation

IoT projects

Artificial intelligence and machine learning

Environmental monitoring

Surveillance and security systems

Research and development

Getting Started

  • Assemble the kit according to the provided instructions.
  • Choose a suitable microcontroller or control system.
  • Integrate the necessary sensors and components.
  • Write and upload the control code to the microcontroller.
  • Power the kit and test the robot's functionality.
To get started with the 4WD Four Wheel Drive Kit, developers can follow these steps

With its robust design, modular architecture, and advanced features, the 4WD Four Wheel Drive Kit is an excellent choice for developers, researchers, and hobbyists seeking to create complex and intelligent robotic systems.

Pin Configuration

  • 4WD Four Wheel Drive Kit - A Smart Robot Car with Chassis Documentation
  • Pinout Explanation
  • The 4WD Four Wheel Drive Kit is a comprehensive robot car chassis that comes with a variety of pins for connecting various components and peripherals. Below is a detailed explanation of each pin, along with a connection guide to help you get started with your project.
  • Pin Structure:
  • The pinout is divided into several sections, each serving a specific purpose. The pins are labeled accordingly, making it easy to identify and connect the correct components.
  • Section 1: Motor Control Pins
  • M1A (Pin 1): Motor 1 A-phase signal output
  • M1B (Pin 2): Motor 1 B-phase signal output
  • M2A (Pin 3): Motor 2 A-phase signal output
  • M2B (Pin 4): Motor 2 B-phase signal output
  • M3A (Pin 5): Motor 3 A-phase signal output
  • M3B (Pin 6): Motor 3 B-phase signal output
  • M4A (Pin 7): Motor 4 A-phase signal output
  • M4B (Pin 8): Motor 4 B-phase signal output
  • These pins are used to connect the four DC motors that drive the robot car's wheels. Connect the corresponding motor wires to these pins, ensuring proper polarity (A-phase to A-phase, B-phase to B-phase).
  • Section 2: Power and Ground Pins
  • VIN (Pin 9): Input voltage (6-12V) for motor drivers and peripherals
  • GND (Pin 10): Ground connection for motor drivers and peripherals
  • 3.3V (Pin 11): 3.3V regulated output for microcontrollers and sensors
  • 5V (Pin 12): 5V regulated output for microcontrollers and sensors
  • These pins provide power and ground connections for the motor drivers, peripherals, and microcontrollers. Ensure the input voltage (VIN) matches the recommended range for the motor drivers and peripherals.
  • Section 3: Communication and Control Pins
  • TX (Pin 13): Serial transmission pin for microcontrollers and sensors
  • RX (Pin 14): Serial reception pin for microcontrollers and sensors
  • SCL (Pin 15): I2C clock signal pin for sensors and peripherals
  • SDA (Pin 16): I2C data signal pin for sensors and peripherals
  • INT (Pin 17): Interrupt signal pin for sensors and peripherals
  • These pins are used for communication and control between the microcontrollers, sensors, and peripherals. Connect the corresponding pins to your chosen microcontroller or other devices.
  • Section 4: Sensor and Peripheral Pins
  • ULTRA_TRIG (Pin 18): Ultrasonic sensor trigger pin
  • ULTRA_ECHO (Pin 19): Ultrasonic sensor echo pin
  • IR_LEFT (Pin 20): Infrared sensor left channel pin
  • IR_RIGHT (Pin 21): Infrared sensor right channel pin
  • LINE_LEFT (Pin 22): Line sensor left channel pin
  • LINE_RIGHT (Pin 23): Line sensor right channel pin
  • These pins are reserved for connecting various sensors and peripherals, such as ultrasonic sensors, infrared sensors, and line sensors.
  • Connection Guide:
  • 1. Connect the four DC motors to the motor control pins (Section 1), ensuring proper polarity.
  • 2. Connect the power source (6-12V) to the VIN pin and the ground connection to the GND pin.
  • 3. Connect the microcontrollers and sensors to the communication and control pins (Section 3), following the specific communication protocol requirements (e.g., UART, I2C, etc.).
  • 4. Connect the sensors and peripherals to the respective pins in Section 4, following the specific sensor and peripheral documentation.
  • By following this pinout explanation and connection guide, you can successfully assemble and connect your 4WD Four Wheel Drive Kit - A Smart Robot Car with Chassis, and start building your IoT project.

Code Examples

4WD Four Wheel Drive Kit - A Smart Robot Car with Chassis
============================================================
Overview
-----------
The 4WD Four Wheel Drive Kit is a smart robot car chassis designed for IoT projects, robotics, and automation. This kit provides a robust and stable platform for building custom robots, featuring a sturdy chassis, four-wheel drive system, and easy-to-use interfaces for motor control and sensor integration.
Key Features
4WD system with high-torque DC motors
 Aluminum alloy chassis for durability and stability
 Easy-to-use interfaces for motor control and sensor integration
 Supports various microcontrollers and single-board computers
 Ideal for IoT projects, robotics, and automation applications
Technical Specifications
Chassis Material: Aluminum alloy
 Motor Type: High-torque DC motors
 Motor Power: 12V, 1A (per motor)
 Motor Control Interface: L298N or PWM signal
 Sensor Interfaces: GPIO, I2C, SPI, UART
 Power Supply: 12V, 2A (recommended)
 Dimensions: 320mm x 240mm x 120mm
Getting Started
---------------
Before using the 4WD Four Wheel Drive Kit, ensure you have a compatible microcontroller or single-board computer, such as an Arduino or Raspberry Pi, and a power supply.
### Example 1: Basic Motor Control with Arduino
In this example, we'll demonstrate basic motor control using an Arduino Uno and the L298N motor driver IC.
Hardware Requirements
4WD Four Wheel Drive Kit
 Arduino Uno
 L298N motor driver IC
 Jumper wires
Software Requirements
Arduino IDE (version 1.8.x or later)
Code Example
```cpp
const int leftMotorForward = 2;  // Define motor pins
const int leftMotorBackward = 3;
const int rightMotorForward = 4;
const int rightMotorBackward = 5;
void setup() {
  pinMode(leftMotorForward, OUTPUT);
  pinMode(leftMotorBackward, OUTPUT);
  pinMode(rightMotorForward, OUTPUT);
  pinMode(rightMotorBackward, OUTPUT);
}
void loop() {
  // Move forward
  digitalWrite(leftMotorForward, HIGH);
  digitalWrite(rightMotorForward, HIGH);
  delay(1000);
  
  // Move backward
  digitalWrite(leftMotorBackward, HIGH);
  digitalWrite(rightMotorBackward, HIGH);
  delay(1000);
  
  // Stop
  digitalWrite(leftMotorForward, LOW);
  digitalWrite(leftMotorBackward, LOW);
  digitalWrite(rightMotorForward, LOW);
  digitalWrite(rightMotorBackward, LOW);
  delay(1000);
}
```
### Example 2: Line Follower Robot with Raspberry Pi and OpenCV
In this example, we'll demonstrate a line follower robot using a Raspberry Pi, OpenCV, and the 4WD Four Wheel Drive Kit.
Hardware Requirements
4WD Four Wheel Drive Kit
 Raspberry Pi (any version)
 Raspberry Pi camera module
 Jumper wires
Software Requirements
Raspbian OS (latest version)
 OpenCV (version 4.x or later)
 Python 3.x (latest version)
Code Example
```python
import cv2
import numpy as np
# Initialize camera
cap = cv2.VideoCapture(0)
while True:
    ret, frame = cap.read()
    if not ret:
        break
# Convert to grayscale and apply threshold
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    _, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
# Find contours
    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# Iterate through contours and find the largest one
    for contour in contours:
        area = cv2.contourArea(contour)
        x, y, w, h = cv2.boundingRect(contour)
        aspect_ratio = float(w)/h
# Filter out small areas and non-rectangular shapes
        if area > 1000 and aspect_ratio > 2:
            cv2.drawContours(frame, [contour], -1, (0, 255, 0), 2)
# Calculate center of the contour
            M = cv2.moments(contour)
            cx = int(M['m10']/M['m00'])
            cy = int(M['m01']/M['m00'])
# Move the robot towards the contour
            if cx < 320:
                # Move left
                print("Move left")
                # Control motor here using Raspberry Pi GPIO
            elif cx > 320:
                # Move right
                print("Move right")
                # Control motor here using Raspberry Pi GPIO
            else:
                # Move forward
                print("Move forward")
                # Control motor here using Raspberry Pi GPIO
cv2.imshow('frame', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()
```
In this example, we use OpenCV to capture video from the Raspberry Pi camera module, apply thresholding and contour detection to find the line, and then control the motors to move the robot towards the line.
Note: This is just a basic example to demonstrate the concept. You may need to fine-tune the code and add more functionality to achieve a fully functional line follower robot.