Humanoid Type Hand Moved by Shape Memory Alloy

Humanoid Type Hand Moved by Shape Memory Alloy

Blog Article

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 KIDS FISH OIL 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 Rear Cinch 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.