F. Miyazaki

About

F. Miyazaki is a pioneering researcher whose work spans autonomous mobile robotics, learning control theory, and mechatronics systems. Over a career of remarkable breadth and depth, Miyazaki has made foundational contributions to two defining areas of modern robotics: stable trajectory tracking for nonholonomic vehicles and iterative learning control for dynamic systems. His 2002 work on stable tracking control for autonomous mobile robots, grounded in Lyapunov stability analysis, has become a landmark reference in mobile robotics, accumulating over 1,400 citations and remaining essential reading for researchers in autonomous navigation. Equally influential is his 1984 introduction of the "betterment process," a visionary framework that endowed servo and mechatronics systems with autonomous learning capabilities — a concept now recognized as a cornerstone of iterative learning control theory, cited nearly 370 times. Miyazaki's contributions extend further into robot motion learning, cooperative multi-arm control, laparoscopic surgical robotics, and even robot table tennis — demonstrating an exceptional ability to bridge theoretical rigor with real-world application. His work on PD feedback control for trajectory tracking and learning-based manipulator control further cemented his influence across both academia and engineering practice. Collectively, his research has shaped how modern robots learn, navigate, and collaborate.

Research Focus

Key Achievements

Top Papers

1. 1
   A stable tracking control method for an autonomous mobile robot

   1,414 citations · 2002
2. 2
   Bettering operation of dynamic systems by learning: A new control theory for servomechanism or mechatronics systems

   367 citations · 1984
3. 3
   Realization of robot motion based on a learning method

   266 citations · 1988
4. 4
   A stable tracking control method for a non-holonomic mobile robot

   250 citations · 2002
5. 5
   Learning control theory for dynamical systems

   185 citations · 1985
6. 6
   A learning approach to robotic table tennis

   132 citations · 2005
7. 7
   FAce MOUSe: a novel human-machine interface for controlling the position of a laparoscope

   130 citations · 2003
8. 8
   Cooperative motion control of multiple robot arms or fingers

   120 citations · 2005
9. 9
   Is a local linear PD feedback control law effective for trajectory tracking of robot motion?

   108 citations · 2003
10. 10
    Applications of learning method for dynamic control of robot manipulators

    92 citations · 1985

Key Collaborators

Contact & Links