Gesture-controlled robotic arm using MPU6050 IMU and embedded microcontroller an embedded system approach for real-time human–robot interaction

This paper presents the design and development of a real-time gesture-controlled robotic arm using an inertial measurement unit (IMU) sensor and an embedded microcontroller platform. The system utilizes the MPU6050 sensor to capture hand motion data, including accelerometer and gyroscope readings, which are processed by an Arduino Nano to control the movement of a multi-degree-of-freedom robotic arm. The proposed system translates human hand gestures into corresponding robotic arm movements, enabling intuitive human–robot interaction [1, 2]. The architecture focuses on low-cost implementation, real-time response, and ease of integration. Experimental results demonstrate reliable motion tracking and accurate gesture-based control, making the system suitable for applications in assistive robotics, pick-and-place operations, and industrial automation. The developed prototype highlights the potential of wearable motion-sensing technology for natural and efficient robotic manipulation.