Fumitoshi Matsuno mostly deals with Control theory, Mobile robot, Robot, Artificial intelligence and Control theory. The concepts of his Control theory study are interwoven with issues in Vibration, Boundary, Boundary value problem and Control engineering. While the research belongs to areas of Mobile robot, he spends his time largely on the problem of Kinematics, intersecting his research to questions surrounding Trajectory.
His Robot study integrates concerns from other disciplines, such as Construction engineering, Pheromone, Simulation and Human–computer interaction. His biological study spans a wide range of topics, including Trail pheromone and Computer vision. His work deals with themes such as Distributed parameter system and Contact force, which intersect with Control theory.
His main research concerns Control theory, Robot, Artificial intelligence, Mobile robot and Control theory. He has included themes like Control engineering and Vibration in his Control theory study. His study in Robot is interdisciplinary in nature, drawing from both Simulation and Trajectory.
The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. The study incorporates disciplines such as Motion planning and Human–computer interaction in addition to Mobile robot. His Control theory research includes themes of Basis, Boundary value problem, Position and Contact force.
His primary scientific interests are in Robot, Control theory, Artificial intelligence, Computer vision and Mobile robot. Fumitoshi Matsuno combines subjects such as Terrain, Gait, Gait, Simulation and Climbing with his study of Robot. His Control theory research incorporates themes from Mechanism and Contact force.
His Computer vision study incorporates themes from Haptic technology, GRASP and Motor learning. His Mobile robot research is multidisciplinary, relying on both Control engineering, Real-time computing and Motion planning. His Control theory research is multidisciplinary, incorporating elements of Control, Boundary, Position and Trajectory.
His primary areas of investigation include Robot, Control theory, Artificial intelligence, Computer vision and Mobile robot. His research in Robot intersects with topics in Terrain, Gait, Human–computer interaction, Simulation and Climbing. Fumitoshi Matsuno has researched Control theory in several fields, including Motion and Kinematics.
His Artificial intelligence research incorporates elements of Information system and Sensitivity. His work carried out in the field of Computer vision brings together such families of science as Haptic sensation, Haptic technology and Task. His Mobile robot research is multidisciplinary, incorporating perspectives in Control engineering and Telecommunications.
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H. Kitano;F. Matsuno.
society of instrument and control engineers of japan (2008)
Modeling and feedback control of a flexible arm
Yoshiyuki Sakawa;Fumitoshi Matsuno;Shigenobu Fukushima.
Journal of Robotic Systems (1985)
Development of the snake-like rescue robot "kohga"
T. Kamegawa;T. Yarnasaki;H. Igarashi;F. Matsuno.
international conference on robotics and automation (2004)
A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control
Jiaxin Ma;Yu Zhang;Andrzej Cichocki;Fumitoshi Matsuno.
IEEE Transactions on Biomedical Engineering (2015)
Modeling and quasi-static hybrid position/force control of constrained planar two-link flexible manipulators
F. Matsuno;T. Asano;Y. Sakawa.
international conference on robotics and automation (1994)
The RoboCup-Rescue project: a robotic approach to the disaster mitigation problem
S. Tadokoro;H. Kitano;T. Takahashi;I. Noda.
international conference on robotics and automation (2000)
Robust adaptive boundary control of an axially moving string under a spatiotemporally varying tension
Kyung-Jinn Yang;Keum-Shik Hong;Fumitoshi Matsuno.
Journal of Sound and Vibration (2004)
Rescue Robots and Systems in Japan
F. Matsuno;S. Tadokoro.
robotics and biomimetics (2004)
Trajectory Tracking Control of Snake Robots Based on Dynamic Model
F. Matsuno;H. Sato.
international conference on robotics and automation (2005)
Augmented Stable Fuzzy Control for Flexible Robotic Arm Using LMI Approach and Neuro-Fuzzy State Space Modeling
A. Chatterjee;R. Chatterjee;F. Matsuno;T. Endo.
IEEE Transactions on Industrial Electronics (2008)
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