Presentation 2007-03-15
A Motor Control Learning Model of Degrees of Freedom in Postural Control
Kenji UEMATSU, Naohiro FUKUMURA, Yoji UNO,
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Abstract(in English) In this study, we propose an efficient learning model that learns fast in a low dimensional state space using a low degrees of freedom (DOF) learning module at the first phase and after that, learns complicated movement in a higher dimensional state space by a high DOF learning module using the result of the low DOF module. To verify this model by a postural control problem, an upright posture was modeled with a two-link inverted pendulum. As a result of simulation applying this learning model, it was shown that this model learns more efficiently than simple reinforcement learning in the same DOF module.
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Keyword(in English) Postural Control / Degrees of Freedom / Freezing / Modular Structure / Actor-Critic Model
Paper # NC2006-158
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Committee NC
Conference Date 2007/3/8(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Motor Control Learning Model of Degrees of Freedom in Postural Control
Sub Title (in English)
Keyword(1) Postural Control
Keyword(2) Degrees of Freedom
Keyword(3) Freezing
Keyword(4) Modular Structure
Keyword(5) Actor-Critic Model
1st Author's Name Kenji UEMATSU
1st Author's Affiliation Department of Informantion and Computer Sciences, Toyohashi University Of Technology()
2nd Author's Name Naohiro FUKUMURA
2nd Author's Affiliation Department of Informantion and Computer Sciences, Toyohashi University Of Technology:Intelligent Sensing System Research Center, Toyohashi University of Technology
3rd Author's Name Yoji UNO
3rd Author's Affiliation Department of Mechanical Science and Engineering, Graduate School of Engineering, Nagoya University
Date 2007-03-15
Paper # NC2006-158
Volume (vol) vol.106
Number (no) 589
Page pp.pp.-
#Pages 6
Date of Issue