AI Maze Solving Robot

A Maze Solving Robot autonomously navigates through unknown mazes using sensors to detect walls and algorithms to find the path to the exit. This project is a classic robotics challenge that teaches pathfinding algorithms and sensor integration.

Why This Project Is Popular

Micromouse competitions (maze-solving robots) are held worldwide. This project teaches fundamental AI concepts - pathfinding algorithms (flood-fill, DFS, BFS), sensor fusion, and real-time decision making. Excellent for understanding how autonomous vehicles "think."

Project Ideas or Guide

Build a maze-solving robot:

• Wall Detection: Use IR sensors or ultrasonic sensors at front, left, right.
• Flood Fill Algorithm: Classic approach - assign distances to cells, always move to shortest path.
• Wall Follower: Simpler - keep one hand on wall, follow until exit found.
• Cell Mapping: Create 2D array representing maze, update as robot explores.
• Speed Optimization: After solving once, run faster using learned path.

Components Used

• Arduino Nano/Mega
• IR Sensors (3-5 units)
• L298N Motor Driver
• Robot Chassis
• Encoders (optional for precise movement)
• LiPo Battery

FAQ

Q: How does flood fill work?

A: It assigns distance numbers to each cell from goal, robot moves to lowest number neighbor.

Q: Can it solve any maze?

A: Yes, flood-fill guarantees finding exit if one exists.