Hoang Thien Phuc
Papers
1
Total Citations
5
H-Index
1
About
Hoang Thien Phuc is a researcher specializing in robotic welding automation and computer vision, with a focused expertise in passive vision systems for manufacturing. His most-cited work, "Simultaneously extract 3D seam curve and weld head angle for robot arm using passive vision" (2021), introduces a novel method that enables robotic arms to perceive and adapt to complex weld seams in real-time—a critical advancement for precision in automated industrial welding. By combining 3D seam curve extraction with weld head angle detection, Phuc’s approach reduces the need for costly active sensors, making robotic welding more accessible and efficient. Although his citation count is modest, this foundational paper has garnered attention for its practical, cost-effective solution to a long-standing challenge in manufacturing robotics. Phuc’s contributions lie at the intersection of sensor integration and robotic control, offering a pathway toward smarter, more autonomous production lines. His work is particularly valuable for researchers exploring vision-guided robotics in unstructured environments, and it underscores the potential of passive sensing to transform industrial automation.
Research Focus
Key Achievements
Top Papers
- 1