2022 - Research.com Mechanical and Aerospace Engineering in Japan Leader Award
Masayuki Inaba focuses on Humanoid robot, Robot, Artificial intelligence, Computer vision and Mobile robot. His Humanoid robot research is multidisciplinary, relying on both Motion planning, Motion control, Control engineering, Simulation and Robot control. The study incorporates disciplines such as Object, Systems design, Trajectory and Human–computer interaction in addition to Robot.
Masayuki Inaba interconnects Sequence and Task in the investigation of issues within Artificial intelligence. His studies deal with areas such as Development and Graph as well as Computer vision. His study in Mobile robot is interdisciplinary in nature, drawing from both Matching, Image sensor and Knowledge-based systems.
The scientist’s investigation covers issues in Robot, Artificial intelligence, Humanoid robot, Computer vision and Simulation. His work carried out in the field of Robot brings together such families of science as Control theory and Human–computer interaction. His Artificial intelligence research integrates issues from Task and GRASP.
The various areas that Masayuki Inaba examines in his Humanoid robot study include Motion, Motion control, Control engineering, Robot kinematics and Trajectory. Computer vision and Tactile sensor are frequently intertwined in his study. His Simulation research is multidisciplinary, incorporating perspectives in Mechanism and Actuator.
The scientist’s investigation covers issues in Robot, Artificial intelligence, Computer vision, Humanoid robot and Control theory. His Robot research is multidisciplinary, incorporating elements of Motion, Task, Human–computer interaction, Simulation and Trajectory. Artificial intelligence is closely attributed to GRASP in his work.
His Proximity sensor research extends to Computer vision, which is thematically connected. The concepts of his Humanoid robot study are interwoven with issues in Control and Tendon. His work deals with themes such as Wrench and Thrust, which intersect with Control theory.
Masayuki Inaba focuses on Robot, Artificial intelligence, Computer vision, Control theory and Humanoid robot. His Robot study integrates concerns from other disciplines, such as Affordance, Human–computer interaction, Task analysis, Transformation and Trajectory. Grippers is closely connected to GRASP in his research, which is encompassed under the umbrella topic of Artificial intelligence.
His studies in Computer vision integrate themes in fields like Proximity sensor and Assistive robot. The Control theory study combines topics in areas such as Cog, Motion planning and Thrust. In his work, Motor control and Field of view is strongly intertwined with Sight, which is a subfield of Humanoid 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.
Learning by watching: extracting reusable task knowledge from visual observation of human performance
Y. Kuniyoshi;M. Inaba;H. Inoue.
international conference on robotics and automation (1994)
Dynamically-Stable Motion Planning for Humanoid Robots
James J. Kuffner;Satoshi Kagami;Koichi Nishiwaki;Masayuki Inaba.
Autonomous Robots (2002)
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)
Visual navigation using view-sequenced route representation
Y. Matsumoto;M. Inaba;H. Inoue.
international conference on robotics and automation (1996)
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)
Motion Planning for Humanoid Robots.
James Kuffner;James Kuffner;Koichi Nishiwaki;Satoshi Kagami;Masayuki Inaba.
Footstep planning among obstacles for biped robots
J.J. Kuffner;K. Nishiwaki;S. Kagami;M. Inaba.
intelligent robots and systems (2001)
Dynamic walking pattern generation for a humanoid robot based on optimal gradient method
K. Nagasaka;H. Inoue;M. Inaba.
systems man and cybernetics (1999)
Robot vision system with a correlation chip for real-time tracking, optical flow and depth map generation
H. Inoue;T. Tachikawa;M. Inaba.
international conference on robotics and automation (1992)
An advanced musculoskeletal humanoid Kojiro
I. Mizuuchi;Y. Nakanishi;Y. Sodeyama;Y. Namiki.
ieee-ras international conference on humanoid robots (2007)
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