H-Index & Metrics Top Publications
Masahiro Fujita

Masahiro Fujita

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 35 Citations 5,069 79 World Ranking 2411 National Ranking 91

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Robotics
  • Robot

Masahiro Fujita mostly deals with Robot, Robot control, Human–computer interaction, Artificial intelligence and Humanoid robot. His research in Robot intersects with topics in Computer hardware, Smart card, Simulation and Information processing. He specializes in Robot control, namely Social robot.

His biological study spans a wide range of topics, including Autonomous robot and Agent architecture. His Human–computer interaction study integrates concerns from other disciplines, such as Entertainment and Mobile robot. His research links Computer vision with Artificial intelligence.

His most cited work include:

  • An ethological and emotional basis for human-robot interaction (238 citations)
  • Development of an Autonomous Quadruped Robot for Robot Entertainment (235 citations)
  • An open architecture for robot entertainment (187 citations)

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

Masahiro Fujita mainly focuses on Robot, Artificial intelligence, Computer vision, Human–computer interaction and Robot control. In the field of Robot, his study on Autonomous robot overlaps with subjects such as Component. The Human–computer interaction study combines topics in areas such as Control, Entertainment, Architecture and Embedded system.

Social robot is the focus of his Robot control research. His Social robot study combines topics from a wide range of disciplines, such as Mobile robot navigation, Agent architecture, Articulated robot and Ubiquitous robot. His Humanoid robot study deals with Motion control intersecting with Motion.

He most often published in these fields:

  • Robot (53.74%)
  • Artificial intelligence (37.41%)
  • Computer vision (21.77%)

What were the highlights of his more recent work (between 2003-2018)?

  • Artificial intelligence (37.41%)
  • Robot (53.74%)
  • Computer vision (21.77%)

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

His primary scientific interests are in Artificial intelligence, Robot, Computer vision, Humanoid robot and Control theory. His Robotics, Artificial intelligence, situated approach, Artificial Intelligence System and Mobile robot study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Expression, bridging the gap between disciplines. His study in the field of Robot control and Social robot is also linked to topics like SOAP.

His Computer vision research incorporates elements of Robust control and Tactile sensor. He combines subjects such as Mobile robot navigation, Stairs, Motion planning, Stereopsis and Climbing with his study of Humanoid robot. His Service research is multidisciplinary, relying on both Embedded system, Human–computer interaction and Personal robot.

Between 2003 and 2018, his most popular works were:

  • Autonomous evolution of dynamic gaits with two quadruped robots (118 citations)
  • 3D Perception and Environment Map Generation for Humanoid Robot Navigation (94 citations)
  • Real-time path planning for humanoid robot navigation (84 citations)

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

  • Artificial intelligence
  • Robotics
  • Computer vision

His primary areas of study are Robot, Artificial intelligence, Computer vision, Humanoid robot and Robot control. The various areas that Masahiro Fujita examines in his Robot study include Embedded system, Service and Human–computer interaction. His work in the fields of Adaptive control and Tactile sensor overlaps with other areas such as GRASP and Process.

In general Computer vision, his work in Image processing, Object and Image is often linked to Slip linking many areas of study. His Humanoid robot research includes elements of Mobile robot navigation, Stairs, Motion planning, Stereopsis and Climbing. His biological study spans a wide range of topics, including Robotics and Simulation.

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

An ethological and emotional basis for human-robot interaction

Ronald C. Arkin;Masahiro Fujita;Tsuyoshi Takagi;Rika Hasegawa.
Robotics and Autonomous Systems (2003)

381 Citations

Development of an Autonomous Quadruped Robot for Robot Entertainment

Masahiro Fujita;Hiroaki Kitano.
Autonomous Robots (1998)

355 Citations

An open architecture for robot entertainment

Masahiro Fujita;Koji Kageyama.
adaptive agents and multi-agents systems (1997)

284 Citations

Electronic pet system, network system, robot, and storage medium

Naohiro Yokoo;Yasuhiko Kato;Masakazu Hattori;Masahiro Fujita.
(2000)

267 Citations

Storage medium, robot, information processing device and electronic pet system

Naohiro Yokoo;Yasuhiko Kato;Masakazu Hattori;Masahiro Fujita.
(1998)

253 Citations

AIBO: Toward the Era of Digital Creatures:

Masahiro Fujita.
The International Journal of Robotics Research (2001)

235 Citations

Evolving robust gaits with AIBO

G.S. Hornby;S. Takamura;J. Yokono;O. Hanagata.
international conference on robotics and automation (2000)

190 Citations

A small biped entertainment robot exploring attractive applications

Y. Kuroki;M. Fujita;T. Ishida;K. Nagasaka.
international conference on robotics and automation (2003)

180 Citations

Autonomous evolution of dynamic gaits with two quadruped robots

G.S. Hornby;S. Takamura;T. Yamamoto;M. Fujita.
IEEE Transactions on Robotics (2005)

167 Citations

Autonomous behavior control architecture of entertainment humanoid robot SDR-4X

M. Fujita;Y. Kuroki;T. Ishida;T.T. Doi.
intelligent robots and systems (2003)

150 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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