Mitsuo Kawato

发表

Computational schemes and neural network models for formulation and control of multijoint arm trajectory

Mitsuo Kawato, M. Kawato, 1990 .

Human machine interface: Hypotheses involving body schema and internal model representations

Mitsuo Kawato, Hiroshi Imamizu, Erhan Oztop, 2010, Neuroscience Research.

Learning Control of a Closed Loop System Using Feedback-Error-Learning

Mitsuo Kawato, Hiroaki Gomi, 1991 .

Equilibrium-Point Control Hypothesis Examined by Measured Arm Stiffness During Multijoint Movement

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1996, Science.

Learning control for a closed loop system using feedback-error-learning

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1990, 29th IEEE Conference on Decision and Control.

Contour extraction by local parallel and stochastic algorithm which has energy learning faculty

Mitsuo Kawato, Sadayuki Hongo, Toshio Inui, 1992, Systems and Computers in Japan.

Iterative Learning Control for Optimal Trajectory in Robotic Manipulator

Mitsuo Kawato, Mitsuo Kawato, Ryoji Suzuki, 1988 .

Initial training schedule pre-determines subsequent performanice in dual adaptation to conflicting environments

Rieko Osu, Mitsuo Kawato, Nicolas Schweighofer, 2010, Neuroscience Research.

Expansion coding and computation in the cerebellum: 50 years after the Marr–Albus codon theory

Mitsuo Kawato, Okito Yamashita, Terence D Sanger, 2019, The Journal of physiology.

The Curvature of Hand Paths in Multi-joint Movements: Examinations of Computational Theories for Trajectory Planning

Rieko Osu, Mitsuo Kawato, Hiroshi Imamizu, 1996 .

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

TRAJECTORY FORMATION IN ARM MOVEMENTS: MINIMIZATION PRINCIPLES AND PROCEDURES

Mitsuo Kawato, M. Kawato, 1996 .

Speed-accuracy trade-off of arm movement predicted by the cascade neural network model

Michael I. Jordan, Mitsuo Kawato, Makoto Hirayama, 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

eMOSAIC model for humanoid robot control

Jun Morimoto, Mitsuo Kawato, Norikazu Sugimoto, 2010, Neuroscience Research.

Teaching by Showing for Task level Robot Learing through movement Pattern Perception

Hiroyuki Miyamoto, Mitsuo Kawato, Hiroaki Gomi, 1994 .

Computational Neuroscience and Multiple-Valued Logic

Mitsuo Kawato, 2009, 2009 39th International Symposium on Multiple-Valued Logic.

The neural and cognitive architecture for learning from a small sample

Mitsuo Kawato, Aurelio Cortese, Benedetto De Martino, 2018, Current Opinion in Neurobiology.

MOSAIC Reinforcement Learning Architecture: Symbolization by Predictability and Mimic Learning by Symbol

Mitsuo Kawato, Kenji Doya, Kazuyuki Samejima, 2001 .

A Kendama learning robot based on a dynamic optimization theory

Stefan Schaal, Rieko Osu, Hiroyuki Miyamoto, 1995, Proceedings 4th IEEE International Workshop on Robot and Human Communication.

Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control

Mitsuo Kawato, Nicolas Schweighofer, Shinya Kuroda, 2011, Current Opinion in Neurobiology.

Computing the optimal trajectory of arm movement: the TOPS (Task Optimization in the Presence of Signal-Dependent Noise) model

Hiroyuki Miyamoto, Mitsuo Kawato, Daniel M. Wolpert, 2003 .

A Neural Network Models that Designs Hand Shapes to Grasp Objects

Naohiro Fukumura, Mitsuo Kawato, Ryoji Suzuki, 1995 .

Computational theory and neural network model of perceiving shape from shading in monocular depth perception

Mitsuo Kawato, Toshio Inui, Hideki Hayakawa, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Calculating Optimal Criteria for Trajectory Planning Using Observed Movement Data

Rieko Osu, Mitsuo Kawato, Yasuharu Koike, 1996 .

Internal models for motor control and trajectory planning

Mitsuo Kawato, M. Kawato, 1999, Current Opinion in Neurobiology.

Bi-directional theory approach to integration

Mitsuo Kawato, M. Kawato, 1996 .

Task optimization in the presence of signal-dependent noise (TOPS(α)) model

Hiroyuki Miyamoto, Mitsuo Kawato, 2004 .

Learning in neural networks for visual information processing.

Mitsuo Kawato, Sei Miyake, Takatoshi Ikeda, 1988 .

Imitation Learning by Estimating Intention of Demonstrator

Mitsuo Kawato, Norikazu Sugimoto, Kenji Doya, 2003 .

Robotics: Science and Technology

Mitsuo Kawato, Jean-Paul Laumond, Philippe Souères, 2012 .

From human grasping to robot grasping

Mitsuo Kawato, Emre Ugur, Erhan Oztop, 2009, Neuroscience Research.

Precise hyperacuity estimation of spike timing from calcium imaging

Yuji Ikegaya, Mitsuo Kawato, Shigeru Shinomoto, 2019, bioRxiv.

Organisation of computation in brain-like systems.

Mitsuo Kawato, Edgar Körner, Gen Matsumoto, 1999, Neural networks : the official journal of the International Neural Network Society.

Learning and Control

Hidenori Kimura, Mitsuo Kawato, Kenji Doya, 2001 .

Multiple model-based reinforcement learning for nonlinear control

Mitsuo Kawato, Kenji Doya, Kazuyuki Samejima, 2006 .

Introduction : 1999 Special Issue Organisation of computation in brain-line systems

Mitsuo Kawato, Edgar Körner, Gen Matsumoto, 1999 .

Repetitively structured cascade neural network model which generates an optimal arm trajectory

Mitsuo Kawato, Ryoji Suzuki, Y. Uno, 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

Teaching by Showing in Kendama Based on Optimization Principle

Mitsuo Kawato, Hiroaki Gomi, Yasuhiro Wada, 1994 .

Computational Neuroscience of Human Intelligence

Mitsuo Kawato, 2000 .

Reinforcement Learning with Reusing Mechanism of Avoidance Actions and its Application to Learning Whole-Body Motions of Multi-Link Robot

Mitsuo Kawato, Norikazu Sugimoto, Akihiko Yamaguchi, 2009 .

Adaptive Internal Model of Intrinsic Coordinates Transformation during Learning of a Reaching Task

Mitsuo Kawato, Hiroshi Imamizu, Yoji Uno, 1996 .