This project showcases a tank robot that can autonomously navigate a 5x5 grid, avoid obstacles, and determine the most optimal path using two different search algorithms:
- A Algorithm* – Balances actual movement cost and heuristic estimates to find the shortest path.
- Greedy Best-First Search – Focuses solely on the heuristic, making fast but sometimes suboptimal decisions.
From just an Arduino, a gyroscope, and a handful of wires, we built this smart navigation system from scratch!
✔️ Autonomous Pathfinding – The tank finds its way from start to goal.
✔️ Algorithm Comparison – Tests A* vs. Greedy Best-First Search for efficiency.
✔️ Arduino-Controlled – Powered by an Arduino Uno and sensors.
| Component | Purpose |
|---|---|
| Arduino Uno | Main controller for the robot. |
| Gyroscope (IMU Sensor) | Tracks orientation and movement. |
| Motor Driver | Controls the tank wheels. |
| LiPo Battery | Powers the system. |
| Wheels & Chassis | Forms the base of the tank. |
Pathfinding isn’t just about speed—heuristics can sometimes mislead.
Hardware debugging is a test of patience. 🛠
Exploring AI in robotics is incredibly fun.