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JRM Vol.14 No.2 pp. 162-169
doi: 10.20965/jrm.2002.p0162
(2002)

Paper:

Application of Neural Network to Teaching of Massage using Multi-fingered Robot Hand

Hideo Kitagawa*, Tomomi Terai**, Panya Minyong** and Kazuhiko. Terashima**

*Gifu National College of Technology, Shinsei-cho Motosu-gun Gifu Prefecture, Japan, 501-0495

**Toyohashi University of Technology, Hibarigaoka 1-1 Tempaku-cho, Toyohashi, Japan, 441-8580

Received:
November 18, 2001
Accepted:
December 7, 2001
Published:
April 20, 2002
Keywords:
neural network, robot hand, teaching, welfare, massage
Abstract

A massage expert using a humanoid robot hand is constructed, and motion control using neural networks (NNs), teaching of fingertip pressure in massage of the robot hand, and its reproduction of force are reported. Force exerted when an expert massages shoulders was detected using distribution pressure sensors, taught to the robot hand, and reproduced by it. It massaged with pressure safe for human beings and similar to an expert.

Cite this article as:
Hideo Kitagawa, Tomomi Terai, Panya Minyong, and Kazuhiko. Terashima, “Application of Neural Network to Teaching of Massage using Multi-fingered Robot Hand,” J. Robot. Mechatron., Vol.14, No.2, pp. 162-169, 2002.
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