Build Your Own AI Assistant Part 1 - Creating the Assistant
116820 Views
Is the new Raspberry Pi AI Kit better than Google Coral?
114678 Views
Control Arduino with Python using Firmata / PyFirmata
87081 Views
How to Map with LiDAR - using a Raspberry Pi Zero 2W, RPLidar and Rviz
57314 Views
Creating a Supercomputer with a Raspberry Pi 5 Cluster and Docker Swarm!
53588 Views
Node-Red Automation, MQTT, NodeMCU & MicroPython
52067 Views
MicroPython Robotics
Bottango and Isaaca
LidarBot
Snaszy NAS a 3D printed NAS for Raspberry Pi
Waveshare CM5 boards
The Best Arduino Robot for Beginners
MicroPython Robotics Projects with the Raspberry Pi Pico
0h 24m
Bottango Basics
0h 22m
Mini-Rack 3D Design Tutorial
0h 20m
Using the Raspberry Pi Pico's Built-in Temperature Sensor
Getting Started with SQL
0h 32m
Introduction to the Linux Command Line on Raspberry Pi OS
0h 42m
Learn Linux from the basics to advanced topics.
Learn how to use a Raspberry Pi Pico
Learn MicroPython the best language for MicroControllers
Learn Docker, the leading containerization platform. Docker is used to build, ship, and run applications in a consistent and reliable manner, making it a popular choice for DevOps and cloud-native development.
Learn how to build SMARS robots, starting with the 3D Printing the model, Designing SMARS and Programming SMARS
Learn how to build robots, starting with the basics, then move on to learning Python and MicroPython for microcontrollers, finally learn how to make things with Fusion 360.
Learn Python, the most popular programming language in the world. Python is used in many different areas, including Web Development, Data Science, Machine Learning, Robotics and more.
Learn how to create robots in 3D, using Fusion 360 and FreeCAD. The models can be printed out using a 3d printer and then assembled into a physical robot.
Learn how to create Databases in Python, with SQLite3 and Redis.
KevsRobots Learning Platform
32% Percent Complete
By Kevin McAleer, 3 Minutes
Page last updated May 10, 2025
Line-following robots are one of the most classic and satisfying robotics projects. In this lesson, you’ll learn how to use an IR sensor to detect a black line on a white surface and steer your robot to follow it.
IR (infrared) sensors detect reflected light. They shine infrared light onto the surface and measure how much bounces back:
Most basic IR line sensors use a digital output, but some give analog readings.
We’ll use a common TCRT5000 or similar sensor with digital output for this project.
Wire the sensor to the Pico as follows:
If you’re using two sensors (left and right), wire the second sensor’s output to GP7.
from machine import Pin from time import sleep # Sensor input pin sensor = Pin(6, Pin.IN) while True: if sensor.value() == 0: print("Line detected") else: print("No line") sleep(0.1)
Try placing your sensor over black tape on a white surface to see the output change.
With two sensors (left and right), you can create simple decision-making logic:
from machine import Pin, PWM from time import sleep # Motor pins (as in previous lesson) # ... # IR sensors left_sensor = Pin(6, Pin.IN) right_sensor = Pin(7, Pin.IN) def forward(): # your forward motor code here pass def turn_left(): # slow or stop left motor, run right motor pass def turn_right(): # slow or stop right motor, run left motor pass def stop(): # stop both motors pass while True: left = left_sensor.value() right = right_sensor.value() if left == 0 and right == 1: turn_left() elif left == 1 and right == 0: turn_right() elif left == 0 and right == 0: forward() else: stop() sleep(0.05)
This is your robot’s first real autonomous behavior!
Next up: Obstacle Avoidance with Ultrasonic Sensors
< Previous Next >