Pongsakorn Roopyai
Papers
1
Total Citations
2
H-Index
1
About
Pongsakorn Roopyai is a researcher in robotics and control systems, with a focus on precision manipulation and error reduction in industrial robotic arms. His most cited work, "Positioning Error Reduction in Robotic Manipulator SEIKO D-TRAN RT3200 Using Repetitive Control" (2018), addresses a critical challenge in automation: minimizing positional inaccuracies that arise during repetitive tasks. By applying repetitive control theory, Roopyai demonstrates a method to enhance the accuracy of the SEIKO D-TRAN RT3200 manipulator, a widely used model in manufacturing and assembly lines. This contribution is particularly valuable for applications requiring high repeatability, such as pick-and-place operations or precision welding. While his citation count remains modest at two, the work underscores a practical, solution-oriented approach to real-world robotics problems. Roopyai’s research bridges theoretical control algorithms and tangible industrial implementation, offering insights for engineers seeking to optimize robotic performance without costly hardware upgrades. His focus on error reduction in existing systems highlights a cost-effective strategy for advancing automation, making his findings relevant for both academic researchers and industry practitioners working on robotic precision and control.
Research Focus
Key Achievements
Top Papers
- 1