A generalised neural network for a humanoid hand

P. Zsíros, P. Baranyi, L. Kovári, P. Korondi

Research output: Paper

6 Citations (Scopus)

Abstract

The main contribution of this paper is a practical application of generalised neural networks for a dextrous hand moved by Shape Memory Alloys (SMA). Since SMA have highly non-linear characteristics and their parameters depend on the environment (mainly on temperature) so the robot hand is controlled by a generalised neural network, which can learn the actual non-linear characteristics of the robot hand. The experimental setup consists of a 20 degree of freedom hand moved by SMA string used as artificial muscle. A video camera is used to detect the position of joints. The position is then sent to the visual display computer via the Internet, which displays the hand in 3D using OpenGl.

Original languageEnglish
Pages523-528
Number of pages6
Publication statusPublished - dec. 1 2000
Event2000 IEEE International Symposium on Industrial Electronics (ISIE'2000) - Puebla, Mexico
Duration: dec. 4 2000dec. 8 2000

Other

Other2000 IEEE International Symposium on Industrial Electronics (ISIE'2000)
CountryMexico
CityPuebla
Period12/4/0012/8/00

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Zsíros, P., Baranyi, P., Kovári, L., & Korondi, P. (2000). A generalised neural network for a humanoid hand. 523-528. Paper presented at 2000 IEEE International Symposium on Industrial Electronics (ISIE'2000), Puebla, Mexico.