D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 38 Citations 6,626 258 World Ranking 3101 National Ranking 124

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Robot

Satoshi Kagami mainly focuses on Robot, Humanoid robot, Computer vision, Artificial intelligence and Motion planning. His research integrates issues of Control system and Control theory in his study of Robot. His Humanoid robot research is multidisciplinary, incorporating elements of Trajectory, Control theory, Control engineering, Simulation and Robot control.

His Stereopsis, Motion and Randomized Hough transform study in the realm of Computer vision interacts with subjects such as Development and Line segment intersection. Artificial intelligence is often connected to Algorithm in his work. His study in Motion planning is interdisciplinary in nature, drawing from both Range, Robot kinematics and Obstacle avoidance.

His most cited work include:

  • Dynamically-Stable Motion Planning for Humanoid Robots (246 citations)
  • Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP (241 citations)
  • Motion Planning for Humanoid Robots (174 citations)

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

Satoshi Kagami mainly investigates Artificial intelligence, Computer vision, Robot, Humanoid robot and Mobile robot. His work on Robotics, Mobile robot navigation and Pose as part of general Artificial intelligence study is frequently linked to Digital human, therefore connecting diverse disciplines of science. Computer vision and Probabilistic logic are frequently intertwined in his study.

His studies in Robot integrate themes in fields like Control engineering and Human–computer interaction. The various areas that Satoshi Kagami examines in his Humanoid robot study include Motion control, Control theory, Simulation, Robot control and Trajectory. In his work, Satoshi Kagami performs multidisciplinary research in Mobile robot and Microphone array.

He most often published in these fields:

  • Artificial intelligence (50.74%)
  • Computer vision (45.19%)
  • Robot (34.07%)

What were the highlights of his more recent work (between 2011-2017)?

  • Artificial intelligence (50.74%)
  • Computer vision (45.19%)
  • Robot (34.07%)

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

Satoshi Kagami mostly deals with Artificial intelligence, Computer vision, Robot, Mobile robot and Object. His work on Segmentation, Tracking and Motion planning as part of his general Artificial intelligence study is frequently connected to Dimension, thereby bridging the divide between different branches of science. His study in the field of Image sensor also crosses realms of Digital human.

The Humanoid robot research he does as part of his general Robot study is frequently linked to other disciplines of science, such as Pattern generation, therefore creating a link between diverse domains of science. His Mobile robot research is multidisciplinary, relying on both Computational geometry and Reflection mapping. His work carried out in the field of Simulation brings together such families of science as Robot control and Control theory.

Between 2011 and 2017, his most popular works were:

  • Autonomous navigation of a humanoid robot over unknown rough terrain using a laser range sensor (62 citations)
  • Online walking pattern generation for push recovery and minimum delay to commanded change of direction and speed (38 citations)
  • Spherical microphone array for spatial sound localization for a mobile robot (17 citations)

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

  • Artificial intelligence
  • Computer vision
  • Operating system

His primary areas of investigation include Artificial intelligence, Computer vision, Simulation, Humanoid robot and Robot. His work on Iterative closest point as part of general Artificial intelligence research is often related to Range, Cluster based and Spread spectrum, thus linking different fields of science. His Probabilistic logic research extends to the thematically linked field of Computer vision.

He has included themes like Biped robot, Human–computer interaction, Motion planning and Trajectory in his Simulation study. Satoshi Kagami performs integrative study on Humanoid robot and Terrain in his works. His work in Image sensor covers topics such as Object detection which are related to areas like Mobile robot.

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

Dynamically-Stable Motion Planning for Humanoid Robots

James J. Kuffner;Satoshi Kagami;Koichi Nishiwaki;Masayuki Inaba.
Autonomous Robots (2002)

367 Citations

Motion Planning for Humanoid Robots

James Kuffner;James Kuffner;Koichi Nishiwaki;Satoshi Kagami;Masayuki Inaba.
Springer Tracts in Advanced Robotics (2005)

351 Citations

Online generation of humanoid walking motion based on a fast generation method of motion pattern that follows desired ZMP

K. Nishiwaki;S. Kagami;Y. Kuniyoshi;M. Inaba.
intelligent robots and systems (2002)

348 Citations

Design and development of research platform for perception-action integration in humanoid robot: H6

K. Nishiwaki;T. Sugihara;S. Kagami;F. Kanehiro.
intelligent robots and systems (2000)

311 Citations

Planning Biped Navigation strategies in Complex Environments

Joel Chestnutt;James Kuffner;Koichi Nishiwaki;Satoshi Kagami.
ieee ras international conference on humanoid robots (2003)

263 Citations

Footstep planning among obstacles for biped robots

J.J. Kuffner;K. Nishiwaki;S. Kagami;M. Inaba.
intelligent robots and systems (2001)

247 Citations

Grasp planning in complex scenes

D. Berenson;R. Diankov;K. Nishiwaki;S. Kagami.
ieee-ras international conference on humanoid robots (2007)

219 Citations

Plane segment finder: algorithm, implementation and applications

K. Okada;S. Kagami;M. Inaba;H. Inoue.
international conference on robotics and automation (2001)

197 Citations

Motion planning for humanoid robots under obstacle and dynamic balance constraints

J. Kuffner;K. Nishiwaki;S. Kagami;M. Inaba.
international conference on robotics and automation (2001)

187 Citations

A full-body tactile sensor suit using electrically conductive fabric and strings

M. Inaba;Y. Hoshino;K. Nagasaka;T. Ninomiya.
intelligent robots and systems (1996)

178 Citations

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