REPOSITORI ROBOTIKA

Nama: Dwijo Utomo Rahino Putro
Npm: 22081010220
Link Demo: https://youtu.be/uZ5q_Poyh3o
Proposal PKM:
📎 Proposal PKM-KC 2025 (PDF on GitHub)
📄 Proposal Google Docs Version

🤖 AMBATRON - Automated Monitoring Bot for Anomalies

AMBATRON (Automated Monitoring Bot for Anomalies) is a surveillance robot built with an ESP32 microcontroller and computer vision system. The robot moves forward by default and automatically stops when it detects visual anomalies using a trained detection model (such as YOLO). This project explores the integration of robotics and machine learning to simulate anomaly detection in real-world environments.

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📸 Core Features

• 🧠 Detects anomalies using image recognition (e.g., italian anomalies brainrot, unusual objects)
• 🤖 ESP32-controlled movement: forward, left, right, reverse, and stop
• 📷 Real-time detection using laptop webcam
• 🔌 Serial communication between Python (host) and ESP32 (robot)
• 🧪 Manual and automatic modes for testing and control

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🚀 How It Works

1. Default Behavior: The robot moves forward continuously.
2. Camera Input: A webcam captures live frames.
3. Detection Model: Python processes frames using a trained model (YOLO/classifier).
4. Anomaly Detected: Python sends a stop signal (b'0') to ESP32 over serial.
5. Safe Again: Python sends a go signal (b'1') to resume movement.

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⚙️ How to Run

1. Upload ESP32 Code

Open esp32-code/ambatron.ino in Arduino IDE, select your ESP32 board and upload.

2. Install Python Dependencies

pip install -r requirements.txt

3. Run the Python Program

cd python/
python ambatron_control.py

Choose between:

• Manual Mode: Control robot with keyboard
• Automatic Mode: Camera detects anomalies automatically

📷 Sample Use Cases

• Detecting visual anomalies
• Prototyping AI-powered patrol robots
• Integrating YOLO with robotics platforms

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⚠️ Disclaimer

This project is intended for educational and experimental purposes only.