Presentation 1998/3/19
Coordinates Transformation Learning of Hand Position Feedback Controller by Using Change of Hand Position Error Norm
Eimei OYAMA, Susumu TACHI,
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Abstract(in English) In order to explain the large variety of human motion learning functions, we propose novel models of coordinates transformation learning of human hand position feedback controller. By using the product of the change of joint angle vector and the corresponding change of square of hand position error norm as the teaching signal of the hand position feedback controller, the controller can be learned appropriately. Numerical experiments of the learning of the inverse kinematics solver that consists of a feedforward controller and a feedback controller are conducted for the evaluation of the learning models.
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Keyword(in English) Neural networks / Motion learning / Visual feedback / Inverse kinematics / Feedback controller learning
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Committee NC
Conference Date 1998/3/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Coordinates Transformation Learning of Hand Position Feedback Controller by Using Change of Hand Position Error Norm
Sub Title (in English)
Keyword(1) Neural networks
Keyword(2) Motion learning
Keyword(3) Visual feedback
Keyword(4) Inverse kinematics
Keyword(5) Feedback controller learning
1st Author's Name Eimei OYAMA
1st Author's Affiliation Mechanical Engineering Laboratory()
2nd Author's Name Susumu TACHI
2nd Author's Affiliation Faculty of Engineering, The University of Tokyo
Date 1998/3/19
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Volume (vol) vol.97
Number (no) 623
Page pp.pp.-
#Pages 8
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