Rafi Al Adnan
Papers
1
Total Citations
11
H-Index
1
About
Rafi Al Adnan is a researcher in robotics and human-machine interaction, with a focus on intuitive control systems for assistive technologies. His most cited work, "Human-Machine Interface (HMI) Robotic Arm Controlled by Gyroscopically Acceleration" (2022, 11 citations), introduces a novel approach to robotic arm control using the MPU 6050 gyroscopic sensor. This system translates natural hand motions into five degrees of freedom—base rotation, arm, elbow, grip, and grip rotation—enabling precise, gesture-based operation. By eliminating the need for complex programming or manual interfaces, Al Adnan’s contribution advances accessibility in robotics, particularly for users with limited mobility. His work bridges the gap between human intent and machine response, offering a low-cost, scalable solution for prosthetics and industrial automation. With growing interest in intuitive HMI systems, Al Adnan’s research continues to influence the development of user-friendly robotic interfaces, demonstrating the potential of sensor-driven control in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1