Humanoid type hand moved by shape memory alloy

P. Korondi, Péter Zsíros, Fetah Kolonic

Research output: Contribution to journalArticle

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
Pages (from-to)17-23
Number of pages7
JournalKomunikacie
Volume9
Issue number1
Publication statusPublished - 2007

Fingerprint

End effectors
Shape memory effect
robot
neural network
Robots
Neural networks
Degrees of freedom (mechanics)
Video cameras
Muscle
video
Display devices
Internet
Temperature
Robot

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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

Humanoid type hand moved by shape memory alloy. / Korondi, P.; Zsíros, Péter; Kolonic, Fetah.

In: Komunikacie, Vol. 9, No. 1, 2007, p. 17-23.

Research output: Contribution to journalArticle

Korondi, P, Zsíros, P & Kolonic, F 2007, 'Humanoid type hand moved by shape memory alloy', Komunikacie, vol. 9, no. 1, pp. 17-23.
Korondi P, Zsíros P, Kolonic F. Humanoid type hand moved by shape memory alloy. Komunikacie. 2007;9(1):17-23.
Korondi, P. ; Zsíros, Péter ; Kolonic, Fetah. / Humanoid type hand moved by shape memory alloy. In: Komunikacie. 2007 ; Vol. 9, No. 1. pp. 17-23.
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