Jirawut Taoprayoon
Papers
1
Total Citations
7
H-Index
1
About
Jirawut Taoprayoon is a robotics researcher whose work focuses on the intersection of mechatronics, automation, and intelligent control systems. His most cited paper, "Weld Bead Tracking Control of a Magnetic Wheel Wall Climbing Robot Using a Laser-Vision System" (2014, 7 citations), addresses a critical challenge in industrial inspection: enabling autonomous robots to navigate and track weld seams on large steel structures. By integrating a laser-vision system with a magnetic wheel climbing robot, Taoprayoon developed a tracking control algorithm that significantly improves the accuracy and reliability of weld bead detection—a key step toward automating hazardous inspection tasks in environments like storage tanks and ship hulls. This contribution demonstrates his ability to combine sensor fusion, real-time control, and mobile robotics to solve practical industrial problems. While his citation count is modest, the work represents a focused, applied contribution to the field of robotic inspection, with potential implications for safety and efficiency in heavy industry. Taoprayoon’s research exemplifies how targeted mechatronic solutions can enhance autonomous systems in challenging real-world settings.
Research Focus
Key Achievements
Top Papers
- 1