Dang-Quang Bui

Hanoi University of Science and Technology

Papers

Total Citations

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About

Dang-Quang Bui is a researcher at the forefront of integrating deep learning with 3D point cloud processing for advanced manufacturing automation. His work centers on robotic systems, particularly in developing intelligent methods for precise 3D contour localization—a critical challenge in applications like automated glue spraying. Bui’s major contribution lies in his innovative fusion of deep neural networks with real-time 3D sensor data, enabling robots to adaptively and accurately navigate complex, irregular surfaces without manual programming. His most cited paper, "Automatic 3D contour localization for robotic glue spraying using deep learning and 3D point cloud processing technology" (2025), has already garnered early citations, signaling its potential impact on smart factory and Industry 4.0 practices. By addressing the bottleneck of vision-guided robotic manipulation, Bui’s work promises to reduce waste, improve precision, and accelerate production in manufacturing. His research bridges the gap between computer vision and industrial robotics, offering practical solutions for automation challenges. As a rising voice in applied AI and robotics, Bui’s contributions are paving the way for more autonomous, adaptive manufacturing systems that learn from their environment.