Humanoid type hand moved by shape memory alloy

Péter Korondi, Péter Zsíros, Fetah Kolonic

Research output: Contribution to journalArticle


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
Pages (from-to)17-23
Number of pages7
Issue number1
Publication statusPublished - Jan 1 2007

ASJC Scopus subject areas

  • Transportation
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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    Korondi, P., Zsíros, P., & Kolonic, F. (2007). Humanoid type hand moved by shape memory alloy. Komunikacie, 9(1), 17-23.