Title :
A model for the kinematical analysis of a six degrees of freedom parallel robot
Author_Institution :
Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
The paper presents neural model for the kinematical analysis of six dof parallel robot. The modelling consists of two stages. The first stage is choosing a three-layer perceptron type neural network and it will be trained so that it will learn a set of training data well enough. The second stage means testing the model obtained through training, during the generalization phase. Both tasks was carried out using personal software.
Keywords :
learning (artificial intelligence); neural nets; robot kinematics; generalization phase; kinematical analysis; personal software; six degrees of freedom parallel robot; three-layer perceptron type neural network; Application software; Bars; Bismuth; Equations; Multilayer perceptrons; Neural networks; Parallel robots; Robot kinematics; Testing; Training data;
Conference_Titel :
Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4244-6724-2
DOI :
10.1109/AQTR.2010.5520875
