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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:
