Akihiko Matsushita
Papers
6
Total Citations
23
H-Index
3
About
Akihiko Matsushita’s research career bridges control theory and practical robotics, with a particular focus on laser welding automation and agricultural robotics. His foundational work introduced a simultaneous design method for online signal planning and control systems, addressing the critical interaction between trajectory planners and servo controllers—a contribution that remains relevant for real-time robot manipulator control. In laser welding, Matsushita pioneered image-based measurement techniques for seam line detection and curvature analysis, enabling robots to precisely control laser irradiation direction and focus positioning along transformed edges. These methods directly tackle the automation challenges of small-area precision welding, where alignment accuracy determines weld strength. His work extends to agricultural robotics, where he developed dynamic image measurement techniques to separate weeds from vine trunks using wind-induced motion, applied to weeding robots in Hokkaido’s vast vineyards. With over 20 citations across his most-cited papers, Matsushita’s impact is seen in the practical integration of vision, planning, and control for manufacturing and agriculture—demonstrating how theoretical control design can solve real-world alignment and automation problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Basic Image Measurement for Laser Welding Robot Motion Control5 citations · 2009
- 3Image Detection of Seam Line for Laser Welding Robot4 citations · 2011
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- 5
- 6