Mitsuharu Morisawa mainly investigates Humanoid robot, Control theory, Robot, Simulation and Artificial intelligence. His studies in Humanoid robot integrate themes in fields like Object handling, Robot kinematics and Motion control. Mitsuharu Morisawa focuses mostly in the field of Control theory, narrowing it down to matters related to Zero moment point and, in some cases, Transfer function and State variable.
The Robot study which covers Stability that intersects with Motion capture. His work in Simulation tackles topics such as Robot control which are related to areas like Servo, Inverted pendulum, Control theory and Torque. His work in the fields of Artificial intelligence, such as Word and Cybernetics, overlaps with other areas such as Human being and Weighting.
Mitsuharu Morisawa mostly deals with Humanoid robot, Robot, Artificial intelligence, Simulation and Control theory. His research integrates issues of Motion, Motion planning, Robot control, Mobile robot and Trajectory in his study of Humanoid robot. His biological study spans a wide range of topics, including Digital pattern generator and Inertial measurement unit.
His work on Robotics, HRP-4C and Object as part of general Artificial intelligence study is frequently linked to Identification, therefore connecting diverse disciplines of science. His Simulation research is multidisciplinary, incorporating elements of Finite-state machine, Human–computer interaction and Motion control. His work in the fields of Control theory, Torque and Inverted pendulum overlaps with other areas such as Center of gravity.
Humanoid robot, Control theory, Robot, Torque and Motion are his primary areas of study. Mitsuharu Morisawa performs integrative study on Humanoid robot and Balance in his works. Mitsuharu Morisawa mostly deals with Control theory in his studies of Control theory.
His Robot study necessitates a more in-depth grasp of Artificial intelligence. His Torque research includes elements of Harmonic drive and Nonlinear system. His study in Motion is interdisciplinary in nature, drawing from both Reachability and Motion planning.
Mitsuharu Morisawa mainly focuses on Humanoid robot, Control theory, Robot, Dynamics and Artificial intelligence. His work carried out in the field of Humanoid robot brings together such families of science as Control engineering, Mechanism and Trajectory. His Control theory research incorporates themes from Synchronizing and Computation.
The various areas that he examines in his Robot study include State vector and Torque. The Artificial intelligence study combines topics in areas such as Compensation and Computer vision. His Computer vision study integrates concerns from other disciplines, such as Inverse kinematics and Motion planning.
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Biped walking stabilization based on linear inverted pendulum tracking
Shuuji Kajita;Mitsuharu Morisawa;Kanako Miura;Shin'ichiro Nakaoka.
intelligent robots and systems (2010)
Cybernetic human HRP-4C
Kenji Kaneko;Fumio Kanehiro;Mitsuharu Morisawa;Kanako Miura.
ieee-ras international conference on humanoid robots (2009)
Biped Walking Pattern Generator allowing Auxiliary ZMP Control
Shuuji Kajita;Mitsuharu Morisawa;Kensuke Harada;Kenji Kaneko.
intelligent robots and systems (2006)
Humanoid robot HRP-4 - Humanoid robotics platform with lightweight and slim body
Kenji Kaneko;Fumio Kanehiro;Mitsuharu Morisawa;Kazuhiko Akachi.
intelligent robots and systems (2011)
A universal stability criterion of the foot contact of legged robots - adios ZMP
H. Hirukawa;S. Hattori;K. Harada;S. Kajita.
international conference on robotics and automation (2006)
Learning from Observation Paradigm: Leg Task Models for Enabling a Biped Humanoid Robot to Imitate Human Dances
Shin'Ichiro Nakaoka;Atsushi Nakazawa;Fumio Kanehiro;Kenji Kaneko.
The International Journal of Robotics Research (2007)
A Humanoid Robot Carrying a Heavy Object
K. Harada;S. Kajita;H. Saito;M. Morisawa.
international conference on robotics and automation (2005)
Task model of lower body motion for a biped humanoid robot to imitate human dances
S. Nakaoka;A. Nakazawa;F. Kanehiro;K. Kaneko.
intelligent robots and systems (2005)
ZMP-based Biped Running Enhanced by Toe Springs
S. Kajita;K. Kaneko;M. Morisawa;S. Nakaoka.
international conference on robotics and automation (2007)
Slip observer for walking on a low friction floor
K. Kaneko;F. Kanehiro;S. Kajita;M. Morisawa.
intelligent robots and systems (2005)
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