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Paper Abstract and Keywords
Presentation 2014-06-27 13:30
Learning model of reaching movement with reinforcement learning and feedback error learning for adaptation to force field
Haruka Shimizu, Hiroyuki Kambara, Natsue Yoshimura, Duk Shin (Tokyo Inst. of Tech.), Yasuharu Koike (Tokyo Inst. of Tech./JST) NC2014-11 IBISML2014-11
Abstract (in Japanese) (See Japanese page) 
(in English) Hand paths during reaching movements become almost straight and the speed profiles become bell-shaped. Even if some external force is applied to the hand, the trajectories become almost same as the ones during movements without any external force. Recently, the motor control and learning model combining the reinforcement learning and feedback error learning was proposed. In this research, to evaluate the validity of the model, we executed the motor control and learning simulation and compare results with the characteristics observed in human's movements. As the result, hand path and speed profile show the human characteristic. However, no coactivation was observed in the simulation. It suggest that this model need some mechanism which makes coactivation depending on uncertainty of learning.
Keyword (in Japanese) (See Japanese page) 
(in English) reaching movement / reinforcement learning / feedback error learning / motor control and learning model / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 104, NC2014-11, pp. 213-219, June 2014.
Paper # NC2014-11 
Date of Issue 2014-06-18 (NC, IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2014-11 IBISML2014-11

Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2014-06-25 - 2014-06-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2014-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning model of reaching movement with reinforcement learning and feedback error learning for adaptation to force field 
Sub Title (in English)  
Keyword(1) reaching movement  
Keyword(2) reinforcement learning  
Keyword(3) feedback error learning  
Keyword(4) motor control and learning model  
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1st Author's Name Haruka Shimizu  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Hiroyuki Kambara  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Natsue Yoshimura  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
4th Author's Name Duk Shin  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
5th Author's Name Yasuharu Koike  
5th Author's Affiliation Tokyo Institute of Technology/JST (Tokyo Inst. of Tech./JST)
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Speaker Author-1 
Date Time 2014-06-27 13:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2014-11, IBISML2014-11 
Volume (vol) vol.114 
Number (no) no.104(NC), no.105(IBISML) 
Page pp.213-219 
#Pages 7 
Date of Issue 2014-06-18 (NC, IBISML) 

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