2011 - IEEE Fellow For contributions to robotics
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.
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.
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
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.
Advanced Robotics: Redundancy and Optimization
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)
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)
Nonholonomic path planning of space robots via a bidirectional approach
Y. Nakamura;R. Mukherjee.
international conference on robotics and automation (1990)
Control of mechanical systems with second-order nonholonomic constraints: underactuated manipulators
G. Oriolo;Y. Nakamura.
conference on decision and control (1991)
Embodied Symbol Emergence Based on Mimesis Theory
Tetsunari Inamura;Iwaki Toshima;Hiroaki Tanie;Yoshihiko Nakamura.
The International Journal of Robotics Research (2004)
Dynamics and stability in coordination of multiple robotic mechanisms
Yoshihiko Nakamura;Kiyoshi Nagai;Tsuneo Yoshikawa.
The International Journal of Robotics Research (1989)
Dynamics Filter - concept and implementation of online motion Generator for human figures
K. Yamane;Y. Nakamura.
international conference on robotics and automation (2000)
Dynamics computation of closed-link robot mechanisms with nonredundant and redundant actuators
Y. Nakamura;M. Ghodoussi.
international conference on robotics and automation (1989)
Mechanics of coordinative manipulation by multiple robotic mechanisms
Y. Nakamura;K. Nagai;T. Yoshikawa.
international conference on robotics and automation (1987)
Profile was last updated on December 6th, 2021.
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