🤖 Self-Centering Maze Solver Robot

🥇 1st Prize Winner — ALGOMAZE 2025 | Team Brute Force | NIT Silchar

An intelligent Arduino-based maze solving robot capable of real-time obstacle avoidance and automatic corridor centering using ultrasonic sensors and adaptive motor control logic.

This robot secured 🥇 1st Prize at ALGOMAZE 2025, a maze solver robotics competition held during Tecnoesis, the annual technical festival of NIT Silchar.

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🏆 Achievement

🥇 1st Prize — ALGOMAZE 2025 📍 Tecnoesis, National Institute of Technology (NIT) Silchar 👥 Team: Brute Force

The robot successfully navigated complex maze tracks using real-time obstacle detection and self-centering navigation algorithms, outperforming multiple competing teams.

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📸 Project Preview

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🏆 Winning Moment — Team Brute Force

Team Brute Force receiving 🥇 1st Prize at ALGOMAZE 2025 — Tecnoesis, NIT Silchar

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🔌 Wiring Overview

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👨‍💻 My Role (Team Leader)

• Led the design, development, and testing of the robot
• Designed navigation and obstacle-avoidance logic
• Implemented the self-centering algorithm
• Integrated ultrasonic sensor system
• Tuned motor speed correction for stable movement
• Coordinated team execution during competition

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🚀 Features

• Real-time obstacle detection
• Automatic corridor centering
• Intelligent turn decision making
• Smooth motor speed correction
• Competition-tested algorithm
• Easy hardware replication

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🧠 Working Principle

Distance Sensing

The robot uses three ultrasonic sensors:

• Front sensor → detects obstacles
• Left sensor → measures left wall distance
• Right sensor → measures right wall distance

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Obstacle Avoidance

When an obstacle is detected:

• Robot stops immediately
• Compares left and right distances
• Turns toward the side with more space

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Self-Centering Navigation

When the path is clear:

• Robot calculates difference between left and right wall distances
• Dynamically adjusts motor speeds
• Maintains centered movement inside corridors

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🛠 Hardware Components

• Arduino Uno / Nano
• L298N Motor Driver Module
• 2 × DC Motors
• 3 × HC-SR04 Ultrasonic Sensors
• Robot Chassis
• Battery Pack
• Jumper Wires

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📄 Documentation & Wiring Guide

For complete hardware setup:

👉 See Full Documentation: docs/Maze_Robot_Full_Documentation.pdf

👉 Refer Circuit Wiring Diagram: images/wiring.jpeg

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📂 Project Structure

Self-Centering-Maze-Solver-Robot/
│
├── code/
│   └── maze_solver.ino
│
├── docs/
│   └── Maze_Robot_Full_Documentation.pdf
│
├── images/
│   ├── robot.jpeg
│   ├── team.jpeg
|   ├── certificate.jpeg
│   └── wiring_diagram.jpeg
│
├── videos/
│   └── demo_run.mp4
│
└── README.md

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🔧 How to Build This Robot

Step 1 — Assemble Hardware

Follow the wiring diagram and documentation.

Step 2 — Upload Code

1. Open Arduino IDE
2. Load maze_solver.ino
3. Select board and COM port
4. Upload

Step 3 — Power the Robot

• Connect battery to motor driver
• Ensure common ground between Arduino and driver

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🎥 Demo Video

Watch robot in action:

👉 videos/demo_run.mp4

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🚀 Future Improvements

• PID-based centering control
• Encoder-based precise turning
• Maze mapping and memory
• Shortest path solving algorithm
• AI-based navigation

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🤝 Contributing

Contributions are welcome.

To contribute:

1. Fork the repository
2. Make improvements
3. Submit a Pull Request

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📜 License

This project is open-source under the MIT License.

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👨‍💻 Author

Arpan Paul, Team Leader — Brute Force, B.Tech Student — NIT Silchar, Robotics • Embedded Systems • AI Enthusiast