Acrylic
Acrylic
Stepper motors
Compatible with Arduino and Raspberry Pi
6 axes
Approximately 1 kg
| 30 cm x 20 cm x 15 cm (arm length | 20 cm) |
Compatible Platforms
Arduino
Raspberry Pi
Other microcontrollers (with additional programming and setup)
Applications
Robotics and mechatronics education
Prototyping and proof-of-concept development
Hobby projects, such as robotic art and 3D printing
Industrial automation and manufacturing
What's Included
Acrylic mechanical arm
Motor drivers
Grip and release mechanism
Assembly instructions
Additional components (e.g., screws, bearings)
What's Not Included
Microcontroller (e.g., Arduino or Raspberry Pi)
Power supply
Programming software and cables
By combining the DIY Acrylic Robot Manipulator Mechanical Arm Kit with a microcontroller and programming software, users can create a fully functional robotic arm that can perform a wide range of tasks and projects.
DIY Acrylic Robot Manipulator Mechanical Arm Kit DocumentationOverviewThe DIY Acrylic Robot Manipulator Mechanical Arm Kit is a versatile and affordable robotic arm kit designed for hobbyists, educators, and professionals. This kit provides a comprehensive platform for building and programming a 4-axis robotic arm, ideal for a wide range of applications, including robotics, automation, and STEM education.Key Features4-axis robotic arm with acrylic structure
Servo motors for precise movement
Arduino-compatible control board
Open-source software support
Modular design for easy assembly and customizationTechnical SpecificationsArm length: 300mm
Payload capacity: 500g
Servo motor type: MG995
Control board: Arduino Mega 2560 compatible
Power supply: 6V-12V DC
Communication protocol: UART, I2C, SPICode ExamplesThese code examples demonstrate how to use the DIY Acrylic Robot Manipulator Mechanical Arm Kit in various contexts.Example 1: Basic Arm Control using ArduinoIn this example, we will demonstrate basic arm control using an Arduino Mega 2560 board.```cpp
#include <Servo.h>// Define servo motor pins
#define BASE_SERVO_PIN 2
#define SHOULDER_SERVO_PIN 3
#define ELBOW_SERVO_PIN 4
#define WRIST_SERVO_PIN 5// Create servo objects
Servo baseServo;
Servo shoulderServo;
Servo elbowServo;
Servo wristServo;void setup() {
// Initialize servo motors
baseServo.attach(BASE_SERVO_PIN);
shoulderServo.attach(SHOULDER_SERVO_PIN);
elbowServo.attach(ELBOW_SERVO_PIN);
wristServo.attach(WRIST_SERVO_PIN);
}void loop() {
// Move arm to initial position
baseServo.write(90);
shoulderServo.write(90);
elbowServo.write(90);
wristServo.write(90);
delay(1000);// Move arm to pick up object
baseServo.write(45);
shoulderServo.write(45);
elbowServo.write(45);
wristServo.write(45);
delay(1000);// Move arm to drop off object
baseServo.write(135);
shoulderServo.write(135);
elbowServo.write(135);
wristServo.write(135);
delay(1000);
}
```Example 2: Robot Arm Control using Python and PySerialIn this example, we will demonstrate robot arm control using Python and the PySerial library.```python
import serial
import time# Initialize serial communication
ser = serial.Serial('COM3', 9600, timeout=1)# Define servo motor angles
base_angle = 90
shoulder_angle = 90
elbow_angle = 90
wrist_angle = 90while True:
# Send servo motor angles to Arduino
ser.write(f"Base:{base_angle} Shoulder:{shoulder_angle} Elbow:{elbow_angle} Wrist:{wrist_angle}
".encode())
time.sleep(1)# Update servo motor angles
base_angle = (base_angle + 10) % 180
shoulder_angle = (shoulder_angle + 10) % 180
elbow_angle = (elbow_angle + 10) % 180
wrist_angle = (wrist_angle + 10) % 180
```Example 3: Arm Tracking using OpenCV and PythonIn this example, we will demonstrate arm tracking using OpenCV and Python.```python
import cv2
import numpy as np# Initialize camera capture
cap = cv2.VideoCapture(0)while True:
# Read frame from camera
ret, frame = cap.read()# Convert frame to HSV color space
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)# Define tracking boundaries
lower_bound = np.array([0, 0, 100])
upper_bound = np.array([10, 10, 255])# Threshold frame to isolate arm
mask = cv2.inRange(hsv, lower_bound, upper_bound)# Find contours of arm
contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)# Iterate through contours and find arm center
for contour in contours:
area = cv2.contourArea(contour)
x, y, w, h = cv2.boundingRect(contour)
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)# Calculate arm center coordinates
center_x = x + w / 2
center_y = y + h / 2# Send arm center coordinates to Arduino
print(f"Arm center: ({center_x}, {center_y})")# Display output
cv2.imshow('frame', frame)
cv2.imshow('mask', mask)# Exit on key press
if cv2.waitKey(1) & 0xFF == ord('q'):
break# Release camera capture
cap.release()
cv2.destroyAllWindows()
```These code examples demonstrate the versatility and potential of the DIY Acrylic Robot Manipulator Mechanical Arm Kit. By combining this kit with various programming languages and libraries, you can create complex and innovative robotic applications.