Eimei Oyama

About

Eimei Oyama is a prominent robotics researcher whose work spans mobile robot navigation, robotic arm kinematics, teleoperation, and assistive robotics. Over a career spanning more than two decades, Oyama has made substantial contributions to some of the most challenging problems in autonomous and human-assistive robotic systems. Oyama's foundational work on mobile robot position estimation, notably his development of optical fiber gyroscope-based dead reckoning methods, addressed critical accuracy limitations in autonomous navigation and has garnered over 130 citations across related publications. His research on landmark-based navigation further enriched this area by providing intelligent strategies for robots to self-localize in complex environments. Perhaps his most influential contributions lie in robotic inverse kinematics. Oyama pioneered modular neural network architectures capable of learning discontinuous, multi-valued inverse kinematics functions — a notoriously difficult problem — accumulating over 150 citations across several landmark papers. His analytical solution to the Pioneer 2 robotic arm's inverse kinematics (82 citations) became a widely referenced resource in the robotics community. Beyond manipulation and navigation, Oyama explored virtual reality-based teleoperation as early as 1993 and later championed a principled framework for assistive robot development grounded in the International Classification of Functioning, reflecting his commitment to translating robotics research into real-world human benefit.

Research Focus

Key Achievements

Top Papers

1. 1
   Position estimation of a mobile robot using optical fiber gyroscope (OFG)

   115 citations · 2002
2. 2
   A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm

   82 citations · 2005
3. 3
   Inverse kinematics learning by modular architecture neural networks with performance prediction networks

   77 citations · 2002
4. 4
   Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems

   53 citations · 2005
5. 5
   Experimental Study on Remote Manipulation Using Virtual Reality

   44 citations · 1993
6. 6
   Planning of Landmark Measurement for the Navigation of a Mobile Robot.

   32 citations · 1993
7. 7
   Planning Of Landmark Measurement For The Navigation A Mobile Robot

   31 citations · 2005
8. 8
   Development of Assistive Robots Using International Classification of Functioning, Disability, and Health: Concept, Applications, and Issues

   25 citations · 2013
9. 9
   Position Estimation of a Mobile Robot Using Optical Fiber Gyroscope.

   21 citations · 1996
10. 10
    Inverse kinematics learning by modular architecture neural networks

    20 citations · 2003

Key Collaborators

Contact & Links