Zafri Baharuddin

Papers

Total Citations

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About

Zafri Baharuddin is a robotics researcher focused on the intersection of mechanical design, control systems, and human-robot interaction. His work centers on developing articulated robotic systems that can replicate complex human movements, with particular applications in sports, education, and medical rehabilitation. His most cited paper, "Design And Control of an Articulated Robotic Arm for Archery" (2022), demonstrates a novel approach to motion control by enabling a robotic arm to perform precise archery movements—a challenging task requiring high accuracy and dynamic stability. This research highlights his contribution to bridging the gap between industrial robotics and specialized human-like tasks, showing how robots can be trained to imitate nuanced physical skills. While his citation count is still growing, his work is gaining attention for its practical implications in assistive technologies and automated sports training. Baharuddin’s research is particularly valuable for students and engineers interested in real-world applications of kinematics, control theory, and AI-driven motion planning, offering a tangible example of how robotic arms can move beyond factory floors into more interactive, human-centered environments.