Path Followed Robot: Step-by-Step Complete Guide from Beginner to Advanced
By Home Academy Project
Introduction
A Path Followed Robot, commonly known as a Line Following Robot, is an autonomous robot designed to detect and follow a predefined path such as a black line on a white surface or vice versa. This project is one of the most popular entry-level robotics projects and is widely used in engineering colleges, polytechnics, ITIs, and competitive robotics competitions.
Despite being simple at the beginner level, the same concept extends to industrial automation, AGVs (Automated Guided Vehicles), warehouse robots, and smart transportation systems.
This article explains every concept step by step, starting from basics and moving towards advanced control and optimization, making it ideal for students, hobbyists, and project developers.
What is a Path Followed Robot?
A Path Followed Robot is an autonomous mobile robot that senses a path using sensors and adjusts its movement using a control mechanism to remain on that path.
The path can be:
A straight or curved line
A track with turns and intersectionsA colored path or reflective tape
A digital path mapped using sensors
Basic Working Principle
The robot works on a simple Sense – Decide – Act principle.
Sense: Sensors detect the path.
Decide: A controller processes sensor data.
Act: Motors adjust direction and speed.
Main Components of a Path Followed Robot
1. Power Supply
Provides energy to the robot.
Batteries (9V, AA, Li-ion, Li-Po)
Voltage regulators (5V, 12V)2. Sensors (Most Important Part)
Sensors detect the path.
Commonly Used Sensors:
IR (Infrared) Sensors
Reflective Optical SensorsColor Sensors (Advanced)
Camera (Very Advanced)
IR Sensor Working Concept
Black surface absorbs IR → Low reflection
White surface reflects IR → High reflection3. Controller Unit
The brain of the robot.
Beginner Level
No microcontroller (Comparator-based logic)Intermediate Level
Arduino UNO / Nano
ATmega microcontrollersAdvanced Level
Raspberry Pi
ESP32ARM Controllers
4. Motor Driver
Motors cannot be connected directly to controllers.
Common Motor Drivers:
L293D
L298NTB6612FNG
Motor driver:
Controls direction
Controls speedProtects controller
5. DC Motors and Wheels
DC geared motors for torque
Differential drive (Left & Right wheels)Castor wheel for balance
Beginner Level Path Followed Robot (Without Coding)
Concept
Uses IR sensors + comparator circuit.
Working
If left sensor detects black → turn left
If right sensor detects black → turn rightIf both detect white → move forward
Advantages
No programming required
Easy to understandLow cost
Limitations
Not accurate on sharp curves
No speed controlNot adaptable
Intermediate Level Path Followed Robot (Using Arduino)
Required Components
Arduino UNO
2 or 3 IR SensorsL298N Motor Driver
DC Motors
Battery
Sensor Arrangement
Left Sensor
Center SensorRight Sensor
This arrangement allows:
Straight movement
Smooth turnsBetter accuracy
Logic Table (Basic Idea)
| Left | Center | Right | Movement |
|---|---|---|---|
| 0 | 1 | 0 | Forward |
| 1 | 0 | 0 | Turn Left |
| 0 | 0 | 1 | Turn Right |
| 0 | 0 | 0 | Stop / Search |
| 1 | 1 | 1 | Junction |
(1 = Black line detected, 0 = White surface)
Control Algorithm
Read sensor values
Compare values
Decide direction
Control motors
Repeat continuously
Advantages
Programmable
Adjustable speedBetter performance
Advanced Level Path Followed Robot
At the advanced stage, the robot moves beyond simple logic.
PID Control System (Most Important Advanced Concept)
PID = Proportional + Integral + Derivative
It ensures:
Smooth movement
Less vibrationHigh speed with accuracy
Why PID?
Simple logic causes jerks and overshoot. PID continuously corrects error.
Error = Desired path – Actual position
PID Working Concept
P corrects current error
I corrects past errorD predicts future error
Used in:
Industrial robots
CNC machinesDrones
Self-driving vehicles
Multi-Sensor Array
5, 7, or 8 IR sensors
Detect curves, intersections, speed zonesIntersection Detection
Robot can:
Count junctions
Take predefined turnsFollow stored routes
Color-Based Path Following
Using color sensors:
Red, blue, green paths
Industrial sorting linesCamera-Based Path Following (AI Level)
OpenCV
Image processingMachine learning
Used in:
Autonomous cars
Warehouse AGVs
Applications of Path Followed Robots
Industrial material handling
Automated warehousesHospital medicine delivery
Airport baggage systems
Robotics competitions
Educational robotics labs
Common Problems and Solutions
Problem: Robot oscillates
Solution: Use PID control
Problem: Sensors give false readings
Solution: Proper calibration
Problem: Robot loses line
Solution: Add search algorithm
Skills You Learn from This Project
Embedded systems
Sensor interfacingMotor control
Control systems
Robotics logic
Automation concepts
// Home Academy Project
// Path Followed (Line Following) Robot
// Arduino UNO + L298N + 3 IR Sensors
// IR sensor pins
#define leftSensor A0
#define centerSensor A1
#define rightSensor A2
// Motor driver pins
#define ENA 5
#define IN1 8
#define IN2 9
#define ENB 6
#define IN3 10
#define IN4 11
int motorSpeed = 150; // Adjust speed (0–255)
void setup() {
pinMode(leftSensor, INPUT);
pinMode(centerSensor, INPUT);
pinMode(rightSensor, INPUT);
pinMode(ENA, OUTPUT);
pinMode(IN1, OUTPUT);
pinMode(IN2, OUTPUT);
pinMode(ENB, OUTPUT);
pinMode(IN3, OUTPUT);
pinMode(IN4, OUTPUT);
analogWrite(ENA, motorSpeed);
analogWrite(ENB, motorSpeed);
}
void loop() {
int leftValue = digitalRead(leftSensor);
int centerValue = digitalRead(centerSensor);
int rightValue = digitalRead(rightSensor);
// Case 1: Move Forward
if (leftValue == HIGH && centerValue == LOW && rightValue == HIGH) {
moveForward();
}
// Case 2: Turn Left
else if (leftValue == LOW && centerValue == HIGH && rightValue == HIGH) {
turnLeft();
}
// Case 3: Turn Right
else if (leftValue == HIGH && centerValue == HIGH && rightValue == LOW) {
turnRight();
}
// Case 4: All sensors on black (junction)
else if (leftValue == LOW && centerValue == LOW && rightValue == LOW) {
moveForward();
}
// Case 5: No line detected
else {
stopRobot();
}
}
// Motor control functions
void moveForward() {
digitalWrite(IN1, HIGH);
digitalWrite(IN2, LOW);
digitalWrite(IN3, HIGH);
digitalWrite(IN4, LOW);
}
void turnLeft() {
digitalWrite(IN1, LOW);
digitalWrite(IN2, HIGH);
digitalWrite(IN3, HIGH);
digitalWrite(IN4, LOW);
}
void turnRight() {
digitalWrite(IN1, HIGH);
digitalWrite(IN2, LOW);
digitalWrite(IN3, LOW);
digitalWrite(IN4, HIGH);
}
void stopRobot() {
digitalWrite(IN1, LOW);
digitalWrite(IN2, LOW);
digitalWrite(IN3, LOW);
digitalWrite(IN4, LOW);
}
Perfect 👍
Below are clear, exam-ready block diagrams for a Path Followed (Line Following) Robot, explained from beginner to advanced level, exactly the way evaluators expect in a Home Academy Project.
1. Basic Block Diagram of Path Followed Robot
Power Supply
│
▼
IR Sensors ───► Controller ───► Motor Driver ───► DC Motors
▲ │
└──────────── Feedback ─────────────┘
Explanation
Power Supply provides energy to all blocks
IR Sensors detect the path (black/white line)
Controller processes sensor data and makes decisions
Motor Driver amplifies control signals
DC Motors move the robot
Feedback ensures continuous correction
2. Beginner-Level Block Diagram (Without Microcontroller)
Battery
│
▼
IR Sensors ───► Comparator Circuit ───► Motor Driver ───► DC Motors
Explanation
IR sensors detect surface contrast
Comparator converts analog signal to logic HIGH/LOW
Motor driver directly controls motors
No programming involved
Used for:
Basic learning, low-cost projects, beginners
3. Intermediate-Level Block Diagram (Arduino-Based)
┌───────────────┐
│ Power Unit │
└───────┬───────┘
│
▼
┌────────────────┐
│ IR Sensors │
└───────┬────────┘
▼
┌────────────────┐
│ Arduino UNO │
│ (Decision Unit)│
└───────┬────────┘
▼
┌────────────────┐
│ Motor Driver │
│ (L298N) │
└───────┬────────┘
▼
┌────────────────┐
│ DC Motors │
│ (Robot Motion) │
└────────────────┘
Explanation
Sensors send digital signals to Arduino
Arduino executes control logicMotor driver controls speed and direction
Robot follows the path smoothly
Used for:
College projects, robotics competitions, practical exams
4. Sensor Array Block Diagram (Improved Accuracy)
IR Sensor Array
(L1 L2 C R2 R1)
│
▼
Microcontroller ───► Motor Driver ───► Motors
Explanation
Multiple sensors detect curves and intersections
Higher accuracy than 2–3 sensor systems
Essential for high-speed robots
5. Advanced Block Diagram with PID Control
┌──────────────────┐
│ Desired Path │
└─────────┬────────┘
▼
Error Calculation
│
▼
┌───────────────────────────┐
│ PID Controller │
│ (P + I + D Algorithm) │
└─────────┬─────────────────┘
▼
Motor Speed Control
│
▼
Motor Driver ───► DC Motors
▲
│
Sensor Feedback Loop
Explanation
Robot calculates deviation from path
PID algorithm continuously corrects motion
Results in smooth, fast, and stable movement
Used in:
Industrial AGVs, smart robots, autonomous vehicles
6. Advanced AI-Based Block Diagram (Camera Vision)
Camera
│
▼
Image Processing (OpenCV / AI)
│
▼
High-Speed Controller
│
▼
Motor Driver
│
▼
Motors
Explanation
Camera captures path imageAI processes real-time visuals
- Robot follows complex and dynamic paths
7. Flow of Operation (Control Logic)
Start
│
Read Sensors
│
Detect Path
│
Calculate Error
│
Decide Direction
│
Control Motors
│
Repeat Loop“The block diagram shows how sensor inputs are processed by the controller to generate motor control signals for autonomous path tracking.”
Conclusion
A Path Followed Robot is not just a beginner project—it is the foundation of autonomous robotics. Starting from simple IR-based logic and advancing to PID-controlled intelligent systems, this project teaches core engineering concepts used in real-world automation.
For students, this project strengthens:
Conceptual clarity
Practical skillsInterview confidence
Competitive exam understanding
Home Academy Project
Learning Engineering with Clarity, Logic, and Real-World Application
