Article

Cover

Title

Trajectory planning of industrial robots using neural network

Authors

M.M. Kazheunikau, A.V. Gospad

Organization

Мogilev State University of Food Technologies
Mogilev, Belarus

Abstract

A new method is proposed for trajectory planning of robotic manipulators in the workspace with obstacles, which is based on topologically ordered neural network. This method takes in to account highly-irregular obstacles shape of industrial robotic cells and provides a reduced number of collision checking.

Keywords

robotic-manipulators, neural network, trajectory planning

For citing this article

Kazheunikau M.M., Gospad A.V. Trajectory planning of industrial robots using neural network // The Research of the Science City, 2012, no. 1, pp. 37-41.

This Article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).