Takahiro Godo
Papers
2
Total Citations
8
H-Index
2
About
Takahiro Godo is a researcher specializing in robotic plasma welding, with a particular focus on the automation and quality control of thick-material joining processes. His work centers on integrating computer vision and image processing into welding systems to improve precision and reliability. Godo’s major contributions include developing methods for detecting and tracking welding lines in real time, as well as processing images of the weld pool to monitor and control the formation of stable penetration beads. These innovations address the critical challenge of achieving high-quality back beads in thick materials, where plasma welding’s high current density is advantageous but requires careful management of the keyhole—a dynamic feature dependent on pilot gas and weld parameters. While his most-cited papers, such as “Image Processing of the Weld Pool in Robotic Plasma Welding System” (2013) and “Detecting and tracking of welding line in visual plasma robotic welding” (2014), each hold 4 citations, their impact lies in laying foundational techniques for automated visual feedback in plasma welding. Godo’s research is notable for bridging practical industrial needs with advanced sensing and control, offering valuable insights for students and engineers working on robotic welding automation and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Image Processing of the Weld Pool in Robotic Plasma Welding System4 citations · 2013
- 2Detecting and tracking of welding line in visual plasma robotic welding4 citations · 2014