Rizqa Afthoni

Papers

Total Citations

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About

Rizqa Afthoni is a researcher whose work bridges robotics, control systems, and human-robot interaction. Her most-cited paper, "Proportional derivative control based robot arm system using Microsoft Kinect" (2013, 26 citations), addresses a critical challenge in manipulator robotics: reducing computational complexity while maintaining effective control. By integrating Microsoft Kinect sensors with proportional-derivative control, Afthoni proposed a more accessible, real-time approach to robot arm operation, moving away from the heavy mathematical models dominating the field. This contribution highlights her focus on practical, user-friendly robotic solutions that can be deployed in everyday settings. Her research underscores a commitment to making robotics more intuitive and efficient, with potential applications in assistive technologies and industrial automation. While her citation count reflects a growing interest in her work, Afthoni’s impact lies in her ability to simplify complex robotic control, offering a pathway for broader adoption of manipulator systems. Her achievements demonstrate a keen understanding of both theoretical control principles and real-world implementation challenges, positioning her as a thoughtful contributor to the evolution of accessible robotics.