Xuan Dai Pham

Papers

Total Citations

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About

Xuan Dai Pham is a researcher whose work bridges robotics, computer vision, and embedded systems. His key research areas include image-based remote robot control, human-computer interaction, and real-time processing on resource-constrained hardware. Pham’s major contributions center on developing efficient algorithms for extracting and interpreting visual information—such as hand positions using skin color and stereo data—to enable intuitive robot control and gesture recognition. His most cited paper, “FPGA-based image processing system for remote robot control” (2009, 6 citations), addresses the challenge of limited computational power in mobile terminals by leveraging FPGA hardware for real-time image analysis, a practical solution for teleoperation. Another notable work, “Dual hand extraction using skin color and stereo information” (2009, 5 citations), advances human-robot interaction by accurately isolating hand gestures from visual clutter. Though his citation counts are modest, Pham’s focus on low-cost, high-efficiency systems has practical implications for robotics and assistive technology. His work exemplifies how clever algorithm-hardware co-design can overcome constraints in mobile and embedded platforms, making him a valuable contributor to applied computer vision and robotics.