Hiroyuki Miyamoto
The University of Osaka, Kyushu Institute of Technology, Nagoya Institute of Technology
Papers
9
Total Citations
560
H-Index
5
About
Hiroyuki Miyamoto is a pioneering researcher in robotics and mechatronics, whose work has shaped the fields of robotic control, human-robot interaction, and autonomous systems. His most influential contribution is the "feedback-error-learning neural network" for trajectory control of robotic manipulators, a seminal paper with 446 citations that introduced a biologically inspired approach to motor learning. Miyamoto's research spans from foundational neural network control to practical applications in sports robotics, exemplified by his work on a tennis serve and upswing learning robot based on bidirectional theory. He has also made significant strides in autonomous mobile robotics, leading the development of the "Musashi" and "Hibikino-Musashi" soccer robots for the RoboCup middle-size league, emphasizing omni-directional mobility, safety, and modular design. More recently, his "tsumori control" method enables intuitive robot operation by interpreting human unconscious behavioral intentions. With over 560 total citations, Miyamoto's work bridges neural computation, mechanical design, and human-centered robotics, leaving a lasting impact on both academic research and practical robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A tennis serve and upswing learning robot based on bi-directional theory70 citations · 1998
- 3Concept of Mechatronics Modular Design for an Autonomous Mobile Soccer Robot14 citations · 2007
- 4
- 5A study of bouncing rod dynamics aiming at passive running7 citations · 2010
- 6
- 7Development of “Hibikino-Musashi” omni-directional mobile robot5 citations · 2007
- 8
- 9Brain-inspired visual processing for robust gesture recognition2 citations · 2007