H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering H-index 54 Citations 13,144 244 World Ranking 280 National Ranking 2
Electronics and Electrical Engineering H-index 52 Citations 13,891 224 World Ranking 982 National Ranking 36

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to robotics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Control theory

His scientific interests lie mostly in Control theory, Humanoid robot, Artificial intelligence, Control engineering and Robot. His Control theory study integrates concerns from other disciplines, such as Kinematics, Robot kinematics, Motion planning and Nonholonomic system. His studies deal with areas such as Underactuation, Motion control, Simulation and Robot control, Social robot as well as Humanoid robot.

His research links Computer vision with Artificial intelligence. His Control engineering study combines topics in areas such as Stability, Robot manipulator, Actuator, Equations of motion and Manipulator kinematics. His Robot research is multidisciplinary, relying on both Work and Forceps.

His most cited work include:

  • Advanced Robotics: Redundancy and Optimization (909 citations)
  • Inverse kinematic solutions with singularity robustness for robot manipulator control (860 citations)
  • Real-time humanoid motion generation through ZMP manipulation based on inverted pendulum control (419 citations)

What are the main themes of his work throughout his whole career to date?

Yoshihiko Nakamura spends much of his time researching Artificial intelligence, Control theory, Humanoid robot, Computer vision and Robot. Motion, Motion capture, Hidden Markov model, Robotics and Motion estimation are subfields of Artificial intelligence in which his conducts study. His Control theory research incorporates elements of Control engineering, Kinematics, Robot kinematics and Nonholonomic system.

His Control engineering research includes themes of Mechanism and Robot control. His Humanoid robot study combines topics from a wide range of disciplines, such as Mobile robot, Motion control, Actuator, Simulation and Trajectory. His research in Computer vision intersects with topics in Visualization and Inverse kinematics.

He most often published in these fields:

  • Artificial intelligence (38.26%)
  • Control theory (29.57%)
  • Humanoid robot (29.22%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (38.26%)
  • Computer vision (23.48%)
  • Humanoid robot (29.22%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Humanoid robot, Motion and Robot. Yoshihiko Nakamura regularly ties together related areas like Field in his Artificial intelligence studies. His Computer vision study incorporates themes from Simultaneous localization and mapping and Inverse kinematics.

His Humanoid robot research is multidisciplinary, incorporating elements of Simulation and Actuator, Torque, Control theory. He works mostly in the field of Control theory, limiting it down to concerns involving Viscoelasticity and, occasionally, Hydraulic cylinder. His Robot research also works with subjects such as

  • Kinematics and related Trajectory,
  • Contact force most often made with reference to Hidden Markov model.

Between 2015 and 2021, his most popular works were:

  • ZMP Support Areas for Multicontact Mobility Under Frictional Constraints (51 citations)
  • Mechanism and Control of Whole-Body Electro-Hydrostatic Actuator Driven Humanoid Robot Hydra (24 citations)
  • Modeling and Identification of a Realistic Spiking Neural Network and Musculoskeletal Model of the Human Arm, and an Application to the Stretch Reflex (21 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Mechanical engineering
  • Computer vision

Yoshihiko Nakamura mostly deals with Artificial intelligence, Computer vision, Humanoid robot, Robot and Motion. His study in Motion capture, Robotics and Inverse kinematics falls within the category of Artificial intelligence. His Computer vision research integrates issues from Hidden Markov model and Benchmark.

The concepts of his Humanoid robot study are interwoven with issues in Trochoid, Stability, Actuator, Control theory and Simulation. His research integrates issues of Bipedalism and Ellipsoid in his study of Control theory. His Robot research includes themes of Context and Kinematics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Advanced Robotics: Redundancy and Optimization

Yoshihiko Nakamura.
(1990)

1645 Citations

Inverse kinematic solutions with singularity robustness for robot manipulator control

Yoshihiko Nakamura;Hideo Hanafusa.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1986)

1300 Citations

Real-time humanoid motion generation through ZMP manipulation based on inverted pendulum control

T. Sugihara;Y. Nakamura;H. Inoue.
international conference on robotics and automation (2002)

669 Citations

Nonholonomic path planning of space robots via a bidirectional approach

Y. Nakamura;R. Mukherjee.
international conference on robotics and automation (1990)

526 Citations

Control of mechanical systems with second-order nonholonomic constraints: underactuated manipulators

G. Oriolo;Y. Nakamura.
conference on decision and control (1991)

493 Citations

Embodied Symbol Emergence Based on Mimesis Theory

Tetsunari Inamura;Iwaki Toshima;Hiroaki Tanie;Yoshihiko Nakamura.
The International Journal of Robotics Research (2004)

442 Citations

Dynamics and stability in coordination of multiple robotic mechanisms

Yoshihiko Nakamura;Kiyoshi Nagai;Tsuneo Yoshikawa.
The International Journal of Robotics Research (1989)

433 Citations

Dynamics Filter - concept and implementation of online motion Generator for human figures

K. Yamane;Y. Nakamura.
international conference on robotics and automation (2000)

402 Citations

Dynamics computation of closed-link robot mechanisms with nonredundant and redundant actuators

Y. Nakamura;M. Ghodoussi.
international conference on robotics and automation (1989)

394 Citations

Mechanics of coordinative manipulation by multiple robotic mechanisms

Y. Nakamura;K. Nagai;T. Yoshikawa.
international conference on robotics and automation (1987)

337 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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