Hand Gesture Controlled Smart Robot Using Arduino and MEMS Sensors

Abstract: Gesture recognition provides a natural and intuitive method for human–machine interaction. This paper presents the design and experimental implementation of a low‑cost hand gesture controlled smart robot using an Arduino microcontroller, MEMS accelerometer sensor, RF communication, Bluetooth interface, and ultrasonic obstacle detection. The system allows a mobile robot to be controlled by hand movements, Android application touch commands, and voice recognition. The accelerometer mounted on the user’s hand senses tilt directions, which are transmitted wirelessly to the robot for motion control. An additional obstacle detection mechanism improves operational safety. The proposed system is developed as a laboratory‑scale prototype and demonstrates reliable performance with affordable hardware. The results indicate that gesture‑based control combined with wireless communication offers an efficient alternative to conventional remote‑controlled robotic systems for automation and assistive applications.

Keywords: Gesture recognition, Arduino, MEMS accelerometer, RF communication, Bluetooth, mobile robot, obstacle detection.