Masaru Ohta
Papers
1
Total Citations
2
H-Index
1
About
Masaru Ohta is a control systems researcher whose work focuses on the stabilization and control of underactuated robotic systems, particularly acrobatic and gymnastic robots. His most notable contribution is a pioneering approach to stabilizing a three-link acrobat robot in an upright position on a horizontal bar—a challenging problem in nonlinear control. Ohta’s method combines an approximation of a proper output function for output zeroing with an iterative learning control (ILC) algorithm to handle system uncertainties and improve performance over repeated trials. This work, published in 2003, has garnered 2 citations and laid foundational ideas for controlling complex, multi-link dynamic systems. Ohta’s research sits at the intersection of robotics, nonlinear control theory, and machine learning, offering practical solutions for robots that must balance or perform dynamic maneuvers. His approach to iterative learning demonstrates a commitment to adaptive, data-driven control strategies that refine performance through repetition—a concept with broad applications in industrial automation and rehabilitation robotics. While his citation count is modest, Ohta’s work represents a thoughtful contribution to the niche but important field of acrobatic robot control.
Research Focus
Key Achievements
Top Papers
- 1Output zeroing and iterative learning control for 3 link acrobat robot2 citations · 2003