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This project was developed for RoboGames 2024 for University Category Round 01. It features an E-Puck robot navigating a Webots simulation maze to locate colored walls in a predefined sequence. The colored walls are scattered throughout the maze, and the simulation adheres to strict arena specifications while demonstrating autonomous path planning

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rnshalinda/Webots_MazeChallenge_Epuck_ColorNav

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Webots_MazeChallenge_Epuck_ColorNav

1️⃣ Introduction

This project was developed for RoboGames 2024 for University Category Round 01. It features an E-Puck robot navigating a Webots simulation maze to locate colored walls in a predefined sequence. The colored walls are scattered throughout the maze, and the simulation adheres to strict arena specifications while demonstrating autonomous path planning

2️⃣ Features

Key functionalities.

   ✅ Webots Simulation – Custom-built environment.

   ✅ Programming Language – Python

   ✅ E-Puck Navigation – Robot moves autonomously using PID controller coupled with ultrasonic sensors and gyroscope to navigate maze.

   ✅ Color Detection – Takes footage from mounted camera to detect walls in order: Red → Yellow → Pink → Brown → Green.

   ✅ Dynamic Start Position – Works from any starting position inside the maze.

3️⃣ Arena specifications

image

  1. The grid 2.5 by 2.5 meters

  2. The gap between walls 0.25m

  3. A wall height 0.1m, breadth 0.01m, length is a multiple of 40.25m to be consistent with the gap

  4. Colored Wall Properties:

    • Height: 0.1m
    • Width: 0.1m
    • Breadth: 0.01m
    • Colors: Red (#FF0000), Yellow (#FFFF00), Pink (#FF00FF), Brown (#A5691E), Green (#00FF00)

4️⃣ The robot : E puck robot

epuck

5️⃣ Demo Video

ezgif-89dda68fdede87

Click to Watch the full demo

About

This project was developed for RoboGames 2024 for University Category Round 01. It features an E-Puck robot navigating a Webots simulation maze to locate colored walls in a predefined sequence. The colored walls are scattered throughout the maze, and the simulation adheres to strict arena specifications while demonstrating autonomous path planning

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