Phuc Thanh Le
Papers
2
Total Citations
9
H-Index
2
About
Phuc Thanh Le is a researcher focused on advancing industrial robotics through cost-effective vision systems. His primary research areas include bin picking automation, 2D and 3D vision integration, and structured-light scanning for robotic manipulation. Le’s major contributions center on developing scalable, low-cost solutions for the bin-picking problem—a challenge where robots must retrieve objects from cluttered bins. His 2022 paper, “Bin-Picking Solution for Industrial Robots Integrating a 2D Vision System,” proposes an alternative to expensive 3D cameras by leveraging 2D vision, reducing system costs and improving scalability. This work has garnered 5 citations. In a complementary study, “Structured-Light-Based 3D Scanning System for Industrial Manipulator in Bin Picking Application,” Le developed a 3D scanning system using Gray code and phase-shifting patterns, achieving 4 citations. Together, these papers demonstrate his ability to balance precision with affordability, offering practical pathways for deploying bin-picking systems in real-world factories. Le’s research is particularly notable for addressing a key barrier—cost—in industrial automation, making his contributions valuable for both academics and practitioners seeking accessible robotic solutions.
Research Focus
Key Achievements
Top Papers
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