-
1Step 1 — Assemble the Robot Chassis
Mount the DC motors, wheels, battery pack, and Raspberry Pi securely on the robot chassis. Ensure proper balance and cable management for stable movement.
-
2Step 2 — Connect the Motor Driver
Wire the motor driver module to the Raspberry Pi GPIO pins and connect both left and right motors for differential movement control.
-
3Step 3 — Install IR Line Sensors
Place the IR sensors underneath the robot facing the ground so they can detect the black tracking line accurately.
-
4Step 4 — Configure Raspberry Pi
Install Raspberry Pi OS, Python libraries, and GPIO dependencies required for sensor reading and motor control.
-
5Step 5 — Upload the Control Code
Run the Python-based line following algorithm that continuously reads sensor values and adjusts motor direction in real time.
-
6Step 6 — Calibrate Sensor Detection
Adjust sensor sensitivity and motor speed values to improve tracking accuracy on curves and sharp turns.
-
7Step 7 — Test Autonomous Navigation
Place the robot on the track and verify that it follows the path automatically using real-time steering correction.
-
8Step 8 — Optimize Performance
Fine-tune PWM speed control, turning logic, and response timing for smoother autonomous movement and better stability.
Himanshu Dada
Discussions
Become a Hackaday.io Member
Create an account to leave a comment. Already have an account? Log In.