single-rb.php

JRM Vol.2 No.4 pp. 288-293
doi: 10.20965/jrm.1990.p0288
(1990)

Paper:

Views over last 60 days: 95

Neural Network Type Grasping Control for Robot Hand

Mitsuo Wada and Hiroshi Endo

Industrial Products Research Institute, 1-1-4, Higashi Tsukuba-shi Ibaraki 305, Japan

Published:
August 20, 1990
Abstract

A neural network-type control method to grasp an object and apply force uniformly using multi-joint hand is presented. The controller has lateral inhibition-type parallel processing and autonomously folding toward decreasing the energy of grasping state.

Cite this article as:
M. Wada and H. Endo, “Neural Network Type Grasping Control for Robot Hand,” J. Robot. Mechatron., Vol.2, No.4, pp. 288-293, 1990.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Dec. 10, 2019