Black Metal 4WD Chassis - Small (190mmx100mm)
Black Metal 4WD Chassis - Small (190mmx100mm)
The Black Metal 4WD Chassis - Small (190mmx100mm) is a compact, high-quality platform designed for building robust and efficient robotic systems. This chassis is ideal for IoT projects, robotics, and automation applications that require a durable and reliable base.
The Black Metal 4WD Chassis is designed to provide a sturdy foundation for a wide range of IoT applications, including |
Autonomous vehicles, robotic arms, and other robotic systems
Sensor-based projects, environmental monitoring, and tracking systems
Industrial automation, smart home automation, and security systems
Made from high-quality, durable black metal
Robust and sturdy design ensures reliable performance in various environments
190mm
100mm
50mm (excluding wheels)
Four high-quality motors with built-in gearboxes for efficient power transmission
Independent suspension system for improved traction and stability
Four rubber wheels with deep treads for excellent grip and traction on various surfaces
60mm
20mm
1.5 kg (3.3 lbs)
Multiple mounting holes and slots for easy installation of IoT boards, sensors, and other components
Supports various power sources, including batteries, DC power supplies, and motor controllers
Approximately 450 grams (15.9 oz) without batteries or payload
Compatible with popular IoT boards, including Arduino, Raspberry Pi, and ESP32
Supports a wide range of sensors and components for customization and expansion
Durable and reliable design for long-term operation
Compact size for easy integration into small spaces
High-performance 4WD system for efficient and stable movement
Versatile mounting options for easy customization and expansion
Compatible with popular IoT platforms and components
The Black Metal 4WD Chassis - Small is suitable for a wide range of IoT applications, including |
Robotics and automation
Environmental monitoring and tracking
Industrial automation and control
Smart home and building automation
Sensor-based projects and prototyping
| Specification | Value |
| --- | --- |
| Material | Black metal |
| Dimensions (LxWxH) | 190mm x 100mm x 50mm |
| Weight | Approximately 450g |
| Payload Capacity | 1.5 kg (3.3 lbs) |
| Motor Type | 4 x DC motors with gearboxes |
| Wheel Size | 60mm diameter, 20mm width |
| Power Supply | Supports various power sources |
| Compatibility | Arduino, Raspberry Pi, ESP32, and other IoT boards |
By providing a robust and reliable platform, the Black Metal 4WD Chassis - Small enables developers to focus on creating innovative IoT applications without worrying about the underlying hardware.
Component Documentation: Black Metal 4WD Chassis - Small (190mmx100mm)
Overview
The Black Metal 4WD Chassis - Small is a compact, rugged, and durable platform designed for building autonomous robots, robotic projects, and IoT applications. The chassis measures 190mm in length and 100mm in width, making it an ideal choice for small to medium-sized projects. Its 4-wheel drive system provides excellent traction and maneuverability, allowing it to navigate various terrains and surfaces.
Technical Specifications
Material: Black anodized aluminum
Size: 190mm (L) x 100mm (W) x 50mm (H)
Wheel size: 60mm diameter x 20mm width
Motor mounts: compatible with NEMA 14 and NEMA 17 motors
Weight: approximately 350 grams
Getting Started
To get started with the Black Metal 4WD Chassis, you'll need to assemble the platform, install the motors, and connect the necessary electronic components. Here's a basic example to help you get started:
Example 1: Basic Motor Control with Arduino
This example demonstrates how to control the 4WD chassis using an Arduino board and L298N motor driver IC.
Hardware Components:
Black Metal 4WD Chassis - Small
Arduino Uno or compatible board
L298N motor driver IC
4 x DC motors (compatible with NEMA 14 or NEMA 17)
Jumper wires
Power source (batteries or wall adapter)
Code:
```cpp
const int LEFT_MOTOR_FORWARD = 2;
const int LEFT_MOTOR_BACKWARD = 3;
const int RIGHT_MOTOR_FORWARD = 4;
const int RIGHT_MOTOR_BACKWARD = 5;
void setup() {
pinMode(LEFT_MOTOR_FORWARD, OUTPUT);
pinMode(LEFT_MOTOR_BACKWARD, OUTPUT);
pinMode(RIGHT_MOTOR_FORWARD, OUTPUT);
pinMode(RIGHT_MOTOR_BACKWARD, OUTPUT);
}
void loop() {
// Move forward
digitalWrite(LEFT_MOTOR_FORWARD, HIGH);
digitalWrite(RIGHT_MOTOR_FORWARD, HIGH);
delay(1000);
// Move backward
digitalWrite(LEFT_MOTOR_BACKWARD, HIGH);
digitalWrite(RIGHT_MOTOR_BACKWARD, HIGH);
delay(1000);
// Stop
digitalWrite(LEFT_MOTOR_FORWARD, LOW);
digitalWrite(LEFT_MOTOR_BACKWARD, LOW);
digitalWrite(RIGHT_MOTOR_FORWARD, LOW);
digitalWrite(RIGHT_MOTOR_BACKWARD, LOW);
delay(1000);
}
```
Example 2: Autonomous Navigation with Raspberry Pi and Python
This example demonstrates how to use the Black Metal 4WD Chassis as a base for an autonomous robot using a Raspberry Pi and Python.
Hardware Components:
Black Metal 4WD Chassis - Small
Raspberry Pi 3 or 4
Raspberry Pi camera module
Ultrasonic sensor (HC-SR04 or compatible)
Jumper wires
Power source (batteries or wall adapter)
Code:
```python
import RPi.GPIO as GPIO
import time
import cv2
# Initialize GPIO pins for motor control
GPIO.setmode(GPIO.BCM)
GPIO.setup(17, GPIO.OUT) # Left motor forward
GPIO.setup(23, GPIO.OUT) # Left motor backward
GPIO.setup(24, GPIO.OUT) # Right motor forward
GPIO.setup(25, GPIO.OUT) # Right motor backward
# Initialize camera and ultrasonic sensor
camera = cv2.VideoCapture(0)
ultrasonic_sensor = UltrasonicSensor(18, 22)
while True:
# Capture image and detect obstacles
ret, frame = camera.read()
if detect_obstacle(frame):
# Avoid obstacle by turning
GPIO.output(17, GPIO.HIGH) # Turn left
time.sleep(0.5)
GPIO.output(17, GPIO.LOW)
else:
# Move forward
GPIO.output(17, GPIO.HIGH)
GPIO.output(24, GPIO.HIGH)
time.sleep(0.1)
GPIO.output(17, GPIO.LOW)
GPIO.output(24, GPIO.LOW)
```
Note: These examples are basic demonstrations of the Black Metal 4WD Chassis's capabilities. You may need to modify the code and add additional features to suit your specific project requirements.
Troubleshooting and Support
For troubleshooting and support, please refer to the manufacturer's documentation and online resources. Additionally, you can seek help from the IoT and robotics communities, online forums, and discussion groups.