Takahiro Masuda
Papers
2
Total Citations
7
H-Index
2
About
Takahiro Masuda is a pioneering figure in the field of robotics, with foundational contributions to robot kinematics, dynamics, and learning control. His research focuses on developing numerical methods for solving the inverse kinematics and dynamics of robot arms, enabling precise trajectory tracking in task coordinates. Masuda’s most cited work, “Numerical solution of robot arm inverse kinematics and dynamics” (1986, 4 citations), introduced a novel approach to deriving desired accelerations from given trajectories, a critical step for high-performance robotic manipulation. He further advanced the field with his 1987 paper on learning control for robots, which proposed a method to accelerate convergence in iterative learning by leveraging a linear approximation of the inverse system. This work addressed a key limitation of prior research—slow learning speed—by incorporating position and velocity servo gains along with motor inertia into the control algorithm. Though his citation counts are modest, Masuda’s ideas laid groundwork for efficient, real-time robot control, influencing subsequent developments in adaptive and iterative learning control. His contributions remain relevant for researchers working on autonomous robotic systems and precision motion control.
Research Focus
Key Achievements
Top Papers
- 1Numerical solution of robot arm inverse kinematics and dynamics4 citations · 1986
- 2