🤯 I Controlled a Robot with My HEAD!
In this exciting AI project, I used mBot2 and mBlock to control a robot using only my head movements — thanks to real-time AI gesture recognition! 🚀
With the power of machine learning and computer vision, I trained an AI model using Google Teachable Machine to detect my head tilt, nod, and shake, then programmed the mBot2 robot to move forward, backward, left, and right — completely hands-free! 🤖✨
This project is a perfect example of how AI + robotics + coding can create real-world innovation. Ideal for students, educators, and STEM enthusiasts who want to learn about AI-powered robot control.
🎓 What You’ll Learn:
How to train AI models using Teachable Machine
How to program mBot2 in mBlock (Python + AI Extension)
How to use AI gesture recognition for robot control
Real-time human-robot interaction using machine learning
🧠 Tools & Software Used:
mBot2 Robot
mBlock Software
Machine learning extension
Python & AI Extensions
💬 Comment below — should I try eye or hand control next?
🔔 Subscribe to Rayan Kiwan Electronics for more creative AI, robotics, and STEM projects every week!
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0:00 – Intro: I Controlled a Robot with My Head 🤯
0:25 – What You’ll Learn in This Project
0:55 – Tools and Software (mBot2, mBlock, Teachable Machine)
1:30 – Understanding AI Gesture Recognition
2:10 – Training AI Model in Google Teachable Machine
3:00 – Connecting AI Model with mBlock
4:00 – Writing Python Code for Robot Control
5:10 – Real-Time Head Movement Detection Demo
6:00 – Robot Movement in Action 🤖
6:45 – How AI Recognizes Head Gestures (Tilt, Nod, Shake)
7:30 – Behind the Scenes: mBot2 Setup
8:15 – Testing and Fine-Tuning the AI Model
9:00 – Final Results and Performance
9:45 – Future Improvements and Next Ideas
10:10 – Conclusion + Subscribe for More AI Projects 🚀
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