https://github.com/ibrahimessakine/micromouse_simulation

This repository provides MATLAB simulations for solving the MicroMouse competition using various algorithms including BFS, DFS, and A*. Explore implementations designed to navigate mazes efficiently, aiming to optimize pathfinding strategies and evaluate their performance in simulated competition environments.
https://github.com/ibrahimessakine/micromouse_simulation

algorithms astar bfs dfs matlab matlab-gui micromouse micromouse-maze-solver simulator

Last synced: 10 days ago
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This repository provides MATLAB simulations for solving the MicroMouse competition using various algorithms including BFS, DFS, and A*. Explore implementations designed to navigate mazes efficiently, aiming to optimize pathfinding strategies and evaluate their performance in simulated competition environments.

• Host: GitHub
• URL: https://github.com/ibrahimessakine/micromouse_simulation
• Owner: IbrahimEssakine
• Created: 2024-07-16T12:16:00.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-16T13:42:38.000Z (5 months ago)
• Last Synced: 2024-10-25T04:24:28.302Z (about 2 months ago)
• Topics: algorithms, astar, bfs, dfs, matlab, matlab-gui, micromouse, micromouse-maze-solver, simulator
• Language: MATLAB
• Homepage:
• Size: 9.17 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction

In this repository, you can find a MATLAB-based simulator application for the Micromouse competition, along with presentations covering both software and hardware aspects related to the competition. Additionally, there's a tutorial explaining how to use the application effectively.

# Features

The simulator for the Micromouse competition includes features such as solving algorithms (BFS, DFS, A*), tracking metrics (score, exploration time, path completion time), customizable micromouse parameters (speed, acceleration, deceleration, turn velocity), full maze preview, mouse POV perspectives, pause functionality, strategic wall-breaking for path optimization, and flexibility in choosing start/destination points and enabling/disabling diagonal path animations during solving.

![MicroMouse Simulator Interface](https://github.com/user-attachments/assets/7dcbe85d-e5c3-4274-85cd-a623f09b2fa2)

# Steps

After downloading "Maze_Solver_Simulator" Open "InterfaceMazeSolver_FASTEST_PATH.m"

  1-Click on "Load" and choose a PNG maze image.

  

  2-Choose the resolution of the maze (larger resolution for bigger mazes).

  

  3-Customize parameters such as animation, diagonal path, micromouse speed, velocity, etc.

  

  4-Select an algorithm (BFS, DFS, A*) or choose the fastest path option.

  

  5-Choose the starting point and ending point within the maze.

# Tutorial

https://github.com/user-attachments/assets/e2341bcc-d7c2-4021-82bc-f5e2ace9efd7