This project simulates an AI-powered autonomous robot that navigates from a start point to a goal while avoiding obstacles using intelligent path planning.
It also integrates a live camera feed with basic object detection.
- Grid-based simulation environment
- A* path planning algorithm
- Obstacle avoidance
- Autonomous robot movement
- Live camera feed (OpenCV)
- Basic object detection (color-based)
- Screenshot output
- Python
- OpenCV
- Pygame
- NumPy
Camera → Object Detection → Decision Making → Path Planning → Robot Movement
python main.py
python camera.py
python detection.py
python final_system.py
- Understanding autonomous navigation systems
- Path planning using A*
- Computer vision basics
- Real-time simulation
- YOLO object detection
- Lane detection
- ROS integration
- Real robot implementation
Vaishnava Devi