This project simulates various types of Braitenberg Vehicles using Python and Pygame, exploring how simple sensor-to-motor connections can create complex, lifelike behavior.
🔬 Inspired by Valentino Braitenberg's thought experiments on synthetic psychology.
Braitenberg vehicles are simple autonomous agents that display intelligent-like behavior by wiring sensors directly to motors. Despite their simplicity, they can mimic:
- Fear
- Aggression
- Curiosity
- Attraction to light, heat, or sound
This simulation brings these ideas to life visually using Pygame.
- 🐍 Python 3.x
- 🎮 Pygame (2.x)
- 🧠 Vector-based physics
- 💻 Custom-built logic for multiple vehicle types
- ✅ Real-time simulation of Braitenberg vehicles
- ✅ Directional light sensors
- ✅ Distance-based speed modulation
- ✅ Min/Max speed tracking
- ✅ Modular vehicle types (Type 1a, 2b, etc.)
- ✅ Expandable architecture for AI logic
braitenberg-vehicles/
│
├── vehicle_type1a.py # Simple forward-speed logic
├── vehicle_type2b.py # Left-right steering logic (coming soon)
│
├── requirements.txt # Python dependencies
└── README.md # You're here!
git clone https://github.com/fuzailpolin/Braitenberg-Vehikel.git
cd Braitenberg-Vehikelpip install ...python3 filename.py- Type 1a: Direct sensor-to-speed mapping
- Type 2b: Dual sensors with cross-wired logic
- Avoidance behavior
- Real-time visualization of sensor rays
- GUI for selecting behavior types
- Export data for ML training (CSV/logging)
Abu Fuzail Polin
👨🎓 MSc Artificial Intelligence, BTU Cottbus
💼 Passionate about Machine Learning, and autonomous behavior
📬 [fuzail.polin@gmail.com]
This project is licensed under the MIT License.
Feel free to fork, improve, and contribute.
Pull requests are welcome! If you want to add a new vehicle type, improve the architecture, or enhance visuals—feel free to get in touch.