Real-time Robotic Car Control using Brainwaves and Head Movements

The project “Real-Time Robotic Car Control using Brainwaves and Head Movements” successfully demonstrates how bio-signals and motion sensors can be integrated to achieve intuitive, hands-free robotic control. By utilizing the gyrosensor  for possition signal detection and the MPU6050 sensor for head movement tracking, the system effectively interprets human gestures into robotic motion commands through the ATmega2560 microcontroller. This approach provides an affordable and practical solution for assistive technologies, especially for individuals with limited mobility. The system operates in real time, offering smooth and responsive control with relatively simple hardware and programming. Although calibration and signal noise remain challenges, the results show that bio-signal-based control systems have significant potential for use in rehabilitation, prosthetic devices, assistive robots, and human–machine interaction. Overall, the project contributes to advancing accessible robotics, demonstrating that low-cost embedded technology can enable meaningful human–robot collaboration and independence for differently-abled users.

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