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Paper Abstract and Keywords
Presentation 2009-06-16 15:40
Skill Transfer to a Robot based on Statistical Features of Direct Teaching Motion by a Human -- A Case Study for Origami Folding Task --
Yasuyuki Kihara, Yasuyoshi Yokokohji (Kyoto Univ.) HIP2009-69
Abstract (in Japanese) (See Japanese page) 
(in English) Even if a robot has enough potential for sensing and actuation to perform a skillful manipulation task, it cannot perform such a task unless it knows how to do such a task, i.e., manipulation skill. We usually use a teaching pendant to teach the desired motions to robots in factories and sometimes specify the motions by means of computer programming. However, it is very difficult to teach manipulation skill through such conventional ways because manipulation skill may involve complicated sensory feedback and such feedback control law is difficult, even for an expert of this task, to describe explicitly.
To solve this problem, we proposed a method to transfer skill from human to robot by direct teaching. A Hidden Markov Model (HMM) was employed to model the statistical characteristics of the teaching data demonstrated by a human. A nominal trajectory and sensory feedback control laws were extracted from the statistical characteristics of the trained HMM. However, the proposed method has several remaining problems. First, a threshold value to extract the periods where the sensory feedback control is applied must be chosen by trial and error. Second, the way of applying sensory feedback is binary, i.e., the feedback is either fully applied or not at all. Third, although the sensory feedback period is extracted based on the correlation between velocity and force, no directional dependency of this correlation is taken into account.
In this paper, a new method to extract sensory feedback control laws is proposed. The proposed method introduces continuous weighting factors based on the canonical correlations between velocity and force so that we don't have to decide a threshold by trial and error, the degree of applying sensory feedback becomes continuous, and the directional dependency of the correlation is taken into account.
Keyword (in Japanese) (See Japanese page) 
(in English) skill transfer / direct teaching / robot hand / origami folding / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 83, HIP2009-69, pp. 107-110, June 2009.
Paper # HIP2009-69 
Date of Issue 2009-06-08 (HIP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee HIP  
Conference Date 2009-06-15 - 2009-06-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HIP 
Conference Code 2009-06-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Skill Transfer to a Robot based on Statistical Features of Direct Teaching Motion by a Human 
Sub Title (in English) A Case Study for Origami Folding Task 
Keyword(1) skill transfer  
Keyword(2) direct teaching  
Keyword(3) robot hand  
Keyword(4) origami folding  
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1st Author's Name Yasuyuki Kihara  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Yasuyoshi Yokokohji  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2009-06-16 15:40:00 
Presentation Time 20 minutes 
Registration for HIP 
Paper # HIP2009-69 
Volume (vol) vol.109 
Number (no) no.83 
Page pp.107-110 
#Pages 4 
Date of Issue 2009-06-08 (HIP) 


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