Akemi Futakawa
Papers
1
Total Citations
3
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1
About
Akemi Futakawa is a pioneering researcher in the field of robotics control, with a primary focus on learning control systems for robotic manipulators. Her most influential work, "Learning control for robots based on linear approximation of inverse system" (1987), addresses a critical challenge in robotics: achieving high-speed, high-precision control through iterative learning. While many researchers at the time concentrated on proving the convergence of learning control algorithms, Futakawa made a significant contribution by tackling the practical issue of convergence speed. She proposed a novel method that leverages a linear approximation of the robot's inverse dynamics, incorporating position servo gains, velocity servo gains, and motor inertia to dramatically accelerate the learning process. This work, cited 3 times, laid important groundwork for reducing the number of trial iterations needed for effective robot control, directly enhancing the practicality and efficiency of industrial automation. Futakawa’s research remains a valuable reference for students and engineers seeking to optimize learning-based control for faster, more reliable robotic performance.
Research Focus
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Top Papers
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