Xuan Hiep Dang
Papers
1
Total Citations
8
H-Index
1
About
Xuan Hiep Dang is a researcher specializing in robotics, industrial automation, and mechanical systems optimization. His work focuses on the kinematic and dynamic modeling of industrial robots, particularly in welding applications, where he has made significant contributions to improving operational efficiency and precision. His most-cited paper, "Optimize the Feed Rate and Determine the Joints Torque for Industrial Welding Robot TA 1400 Based on Kinematics and Dynamics Modeling" (2020), has garnered 8 citations, reflecting its relevance in advancing robotic performance through torque analysis and feed rate optimization. This study provides a practical framework for enhancing the accuracy and energy efficiency of welding robots, a key challenge in modern manufacturing. Dang’s research integrates theoretical modeling with real-world applications, offering valuable insights for engineers and researchers seeking to optimize robotic systems. His work underscores the importance of dynamic simulation in reducing mechanical wear and improving joint control, contributing to the broader field of industrial robotics. With a focus on applied mechanics and automation, Dang continues to influence the development of smarter, more reliable robotic solutions for industry.
Research Focus
Key Achievements
Top Papers
- 1