Abstract

Models for the design of assembly processes are considered. Various models for the voice control of an industrial robot are considered: a logical model, semantic networks, a frame model and Petri nets. It is shown that this set of models allows describing the process of designing the technological process for an industrial robot. The logical model of the technological process allows you to define logical relationships. A model based on semantic networks describes the relationship between assembly units in a detail. This allows you to determine the order and method of registration, as well as the mutual orientation of assembly units in the product. The frame model provides the ability to streamline the execution of the build process. A model based on Petri nets allows one to describe the type and sequence of technological transitions. Based on the proposed models, a method of voice control for an industrial robot is developed. The basic principles of voice control for an industrial robot are considered.

Highlights

  • As technological process is a part of production process

  • A model based on semantic networks describes the relationship between assembly units in a detail

  • The formal representation of assembly processes is based on the general representation of the assembly detail as an ordered set of assembly units

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Summary

Introduction

As technological process is a part of production process. It is associated with qualitative transformation (changing) of production object. Such systems have different technical and economic parameters. We can design optimal robotic assembly technological process and identify errors in robot control program before its using in industrial conditions. It is expediently to use robot voice control as computer-aided design (CAD) interactive interface implementation mean. It allows representing specific technological task features, to take into account equipment and robot. We can say industrial robot voice control has plenty of advantages and may be used in different industrial fields

Modeling as a Decision-Making Tool
Robotic Assembly Processes Logic Model
Semantic Nets in Robotic Assembly Process Simulation
Robotic Assembly Processes Frame Model
Petri Nets in Robotic Assembly Processes Modeling
Voice Control Method for an Industrial Robot
Conclusions
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