Development of a Model Network and an Analysis of Network Traffic for Controlling Robot Manipulators

Abstract

The issue of controlling robotic manipulators remotely via a communication network is covered in the article. The built model network's structure is shown, and its key elements are detailed. It was designed to intercept and analyze network traffic generated during remote control of robotic manipulators. The main traits of the network traffic that was intercepted for four different applications of using a robot manipulator in the fundamental interaction scenario are presented. These traits also take into account the use of the author proposed improved network algorithm for controlling robot manipulators or their clusters. The self-similarity coefficient of the received network traffic was estimated.