Yasuo Suga
Papers
11
Total Citations
111
H-Index
6
About
Yasuo Suga is a robotics and manufacturing engineer whose research sits at the intersection of autonomous mobile robotics, computer vision, and intelligent welding systems. Over more than two decades of scholarship, Suga has made significant contributions to automating complex industrial processes that traditionally demanded skilled human operators. His most influential work spans two interconnected domains. In welding automation, Suga pioneered vision-based control systems capable of real-time seam tracking, molten pool shape analysis, and penetration control in TIG welding—applying neural networks to achieve precise regulation of welding conditions in thin steel plates and fixed pipe configurations. These contributions, accumulated from the mid-1990s onward, helped lay the groundwork for fully autonomous robotic welding. Equally notable is his work in omnidirectional vision for mobile robotics. His 2007 papers on moving obstacle detection and ego-pose estimation for in-pipe robots—garnering 25 and 17 citations respectively—demonstrated how omnidirectional cameras could enable robust autonomous navigation within complex pipeline environments, a practically vital capability for industrial inspection. With a cumulative citation record exceeding 100 references across his body of work, Suga's research represents a sustained and coherent effort to bring intelligent sensing and autonomous control into demanding real-world manufacturing and inspection applications.
Research Focus
Key Achievements
Top Papers
- 1An Omnidirectional Vision-Based Moving Obstacle Detection in Mobile Robot25 citations · 2007
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