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Yoshihiko Nakamura

Yoshihiko Nakamura

University of Tokyo
Japan

Mechanical and Aerospace Engineering

Japan

2023

Electronics and Electrical Engineering

Japan

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Mechanical and Aerospace Engineering D-index 63 Citations 18,084 488 World Ranking 298 National Ranking 2

Electronics and Electrical Engineering D-index 63 Citations 18,416 505 World Ranking 784 National Ranking 24

Research.com Recognitions

Awards & Achievements

2023 - Research.com Mechanical and Aerospace Engineering in Japan Leader Award

2023 - Research.com Electronics and Electrical Engineering in Japan Leader Award

2022 - Research.com Mechanical and Aerospace Engineering in Japan Leader Award

2011 - IEEE Fellow For contributions to robotics

Overview

What is he best known for?

The fields of study Yoshihiko Nakamura is best known for:

Immune system
Cancer
Gene

His study on Biochemistry is interrelated to topics such as In vitro and Gene. In his study, Yoshihiko Nakamura carries out multidisciplinary Gene and Biochemistry research. His research on Artificial intelligence often connects related topics like Motion (physics). Yoshihiko Nakamura connects Cell biology with Molecular biology in his study. Borrowing concepts from Cell biology, Yoshihiko Nakamura weaves in ideas under Molecular biology. His Internal medicine study typically links adjacent topics like Receiver operating characteristic. His research links CD34 with Stem cell. His Stem cell research extends to the thematically linked field of CD34. Yoshihiko Nakamura integrates many fields, such as Robot and Humanoid robot, in his works.

His most cited work include:

Embodied Symbol Emergence Based on Mimesis Theory (319 citations)
Dynamics and Stability in Coordination of Multiple Robotic Mechanisms (310 citations)
Identification of myogenic-endothelial progenitor cells in the interstitial spaces of skeletal muscle (307 citations)

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

Yoshihiko Nakamura incorporates Artificial intelligence and Humanoid robot in his studies. Yoshihiko Nakamura integrates Humanoid robot with Robot in his study. His multidisciplinary approach integrates Robot and Artificial intelligence in his work. Motion (physics) is often connected to Computer vision in his work. His Computer vision study frequently draws connections between related disciplines such as Motion (physics). Yoshihiko Nakamura frequently studies issues relating to Control theory (sociology) and Control (management). Control theory (sociology) and Control (management) are frequently intertwined in his study. His Cell biology study frequently draws parallels with other fields, such as Stem cell. The study of Stem cell is intertwined with the study of Cell biology in a number of ways.

Yoshihiko Nakamura most often published in these fields:

Artificial intelligence (45.70%)
Robot (29.03%)
Internal medicine (25.81%)

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.

Best Publications

Advanced Robotics: Redundancy and Optimization

Yoshihiko Nakamura.
(1990)

1675 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)

1365 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)

681 Citations

Nonholonomic path planning of space robots via a bidirectional approach

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

530 Citations

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

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

510 Citations

Embodied Symbol Emergence Based on Mimesis Theory

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

445 Citations

Dynamics and stability in coordination of multiple robotic mechanisms

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

443 Citations

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

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

402 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

Mechanics of Coordinative Manipulation by Multiple Robotic Mechanisms

Yoshihiko Nakamura;Kiyoshi Nagai;Tsuneo Yoshikawa.
Journal of the Robotics Society of Japan (1986)

352 Citations

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Yoshihiko Nakamura

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What is he best known for?

The fields of study Yoshihiko Nakamura is best known for:

His most cited work include:

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

Yoshihiko Nakamura most often published in these fields:

Best Publications

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