Advanced LFR and Maze Solving Robot

Description

Course Name: Advanced LFR and Maze Solving Robot

Class Count: 24

Duration: 3 Months

Synopsis: The Advanced Line-Following Robot (LFR) Workshop is a comprehensive, hands-on program designed to equip participants with the knowledge and skills to design, build, and program advanced autonomous robots capable of line following, maze solving, and obstacle avoidance. This 24-day course takes learners on a step-by-step journey from fundamental concepts to advanced competitive techniques, combining theoretical understanding with real-world practical experience.

Course Curriculum

Day 1: Arduino Introduction and Basic Operations

Theory: What is Arduino? How does it work?
Practical: Basic operations with digital and analog pins (LED blinking, PWM).

Day 2: Digital Input and Output

Day 3: Analog Input and Output

Day 4: Single Infrared (IR) Sensor Unit

Day 5: Combining Multiple Sensors

Day 6: Motor Driver Operation

Day 7: Power Units

Day 8: Assemble All LFR Parts

Day 9: Bluetooth-Controlled Car

Day 10: Basic Line Following Tactics

Day 11: Simple Line Following Contest

Day 12: Advanced Push Button Functions

Day 13: EEPROM and Auto-Calibration

Day 14: Multitasking in Arduino

Day 15: Introduction to Maze Solving Systems

Day 16: Maze Scan System Coding – Part 1

Day 17: Maze Scan System Coding – Part 2

Day 18: Maze Solving Algorithm

Day 19: Practical Session – Maze Solve and Direction Following

Day 20: Display Sensor Data on OLED

Day 21: Competitive Line Following Tactics – Part 1

Day 22: Competitive Line Following Tactics – Part 2

Day 23: Competitive Line Following Tactics – Part 3

Day 24: Contest and Quiz

Enrollment Box :

All courses intro

Advanced LFR and Maze Solving Robot

Description

Course Curriculum

Day 1: Arduino Introduction and Basic Operations

Theory: What is Arduino? How does it work?

Practical: Basic operations with digital and analog pins (LED blinking, PWM).

Day 2: Digital Input and Output

Theory: Controlling external components using digital pins.

Practical: Set up and control LEDs, push buttons, and switches.

Day 3: Analog Input and Output

Theory: Reading analog sensors and using PWM for control.

Practical: Read a potentiometer and control an LED’s brightness.

Day 4: Single Infrared (IR) Sensor Unit

Theory: How an IR sensor detects lines and surfaces.

Practical: Test a single IR sensor for detecting white/black lines.

Day 5: Combining Multiple Sensors

Theory: Using multiple IR sensors for better accuracy.

Practical: Set up a 3-sensor array and read values.

Day 6: Motor Driver Operation

Theory: Understanding motor drivers and their role in controlling motors.

Practical: Connect and control DC motors using an L298N or similar driver.

Day 7: Power Units

Theory: Buck and boost converters, Li-Po batteries, and safe handling.

Practical: Assemble the power unit for the robot.

Day 8: Assemble All LFR Parts

Practical: Assemble the chassis, motor, IR sensors, Arduino, and power system.

Day 9: Bluetooth-Controlled Car

Theory: Using Bluetooth modules with Arduino.

Practical: Build and control a car via a mobile app using Bluetooth.

Day 10: Basic Line Following Tactics

Theory: Algorithms for basic line following (e.g., proportional control).

Practical: Write and test basic line-following code.

Day 11: Simple Line Following Contest

Activity: Compete in a simple line-following challenge.

Day 12: Advanced Push Button Functions

Theory: Using buttons to toggle between modes and features.

Practical: Add push button functionality for calibration or mode selection.

Day 13: EEPROM and Auto-Calibration

Theory: Use of EEPROM to store data and auto-calibrate IR sensors.

Practical: Write code for calibration and test it.

Day 14: Multitasking in Arduino

Theory: Using millis() and interrupts for multitasking.

Practical: Implement simultaneous tasks (e.g., line-following and obstacle detection).

Day 15: Introduction to Maze Solving Systems

Theory: Basics of maze-solving, right-hand/left-hand rules, and intersection logic.

Practical: Test simple right-hand/left-hand rule with IR sensors.

Day 16: Maze Scan System Coding – Part 1

Topics: Intersection line detection and storing data.

Practical: Write and test code for scanning intersections and turns.

Day 17: Maze Scan System Coding – Part 2

Topics: U-turn logic and storing maze data.

Practical: Implement and test the maze scan system.

Day 18: Maze Solving Algorithm

Theory: Algorithms for solving mazes (e.g., Flood Fill, Depth-First Search).

Practical: Write and implement a maze-solving algorithm.

Day 19: Practical Session – Maze Solve and Direction Following

Practical: Test the full maze scan and solve system, and follow specific instructions (e.g., go straight, turn right).

Day 20: Display Sensor Data on OLED

Theory: Using an OLED display to show real-time sensor data.

Practical: Display IR sensor values and system status on an OLED.

Day 21: Competitive Line Following Tactics – Part 1

Theory: Fine-tuning PID control and handling sharp turns.

Practical: Optimize code and practice competitive line-following tactics.

Day 22: Competitive Line Following Tactics – Part 2

Topics: Adding sonar sensors and wall-following strategies.

Practical: Write and test wall-following code.

Day 23: Competitive Line Following Tactics – Part 3

Topics: Obstacle detection and avoidance during line following.

Practical: Add obstacle-avoidance functionality and test.

Day 24: Contest and Quiz

Activity: Hold a final contest combining line-following, maze-solving, and obstacle-avoiding challenges.

Quiz: Assess participants’ understanding of advanced concepts.

Enrollment Box :

All courses intro

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