Rifky B. Muhammad

Papers

Total Citations

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About

Rifky B. Muhammad is a researcher in robotics and human-machine interaction, with a focus on gesture-based control systems. His most-cited work, "Robotic Arm Controlling Based on Fingers and Hand Gesture" (2020, 17 citations), addresses a critical challenge in robotics: enabling intuitive, non-contact control of robotic manipulators. By developing a system that interprets finger and hand gestures to direct robotic arm movements, Muhammad’s research bridges the gap between human dexterity and machine precision, offering safer and more accessible interfaces for hazardous environments where direct human operation is impossible. This contribution is particularly relevant for industrial automation, assistive technologies, and remote operations. While his citation count reflects a growing interest in his approach, Muhammad’s work stands out for its practical emphasis on real-time responsiveness and user-friendly design. His research underscores a broader trend toward democratizing robotic control, making advanced machinery operable without extensive training. As robotics continues to evolve, Muhammad’s gesture-based methods could pave the way for more natural human-robot collaboration, reducing barriers in fields ranging from manufacturing to healthcare.