VERIFICATION OF THE PROPERTIES OF AN INDUSTRIAL ROBOT FOR THE NUCLEAR INDUSTRY

The article deals with the issue of verification of selected geometric characteristics of a special robot intended for the nuclear industry. The design of the robot is specific in that the robot works in both semi-automatic and manual mode. This leads to frequent collisions of some parts of the robot with fragmented equipment. Therefore, it was necessary to ensure the accuracy and repeatability of the robot after its production and during its operation. Verification of the parameters of the robot after one year of operation was carried out in the controlled zone of the nuclear power plant, which was specific due to the presence of ionizing radiation. The methodology, technique and method of verification had to be adapted to this.

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Publication Details

Journal
MM Science Journal
Published
2024-11-05
DOI
https://doi.org/10.17973/mmsj.2024_11_2024056
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
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article

VERIFICATION OF THE PROPERTIES OF AN INDUSTRIAL ROBOT FOR THE NUCLEAR INDUSTRY

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MM Science Journal
Robot Manipulation and Learning
article

VERIFICATION OF THE PROPERTIES OF AN INDUSTRIAL ROBOT FOR THE NUCLEAR INDUSTRY

Peter Marcinko, Ján Semjon, Jozef Varga, Rudolf Jánoš, Patrik Pilát
article en

Abstract

The article deals with the issue of verification of selected geometric characteristics of a special robot intended for the nuclear industry. The design of the robot is specific in that the robot works in both semi-automatic and manual mode. This leads to frequent collisions of some parts of the robot with fragmented equipment. Therefore, it was necessary to ensure the accuracy and repeatability of the robot after its production and during its operation. Verification of the parameters of the robot after one year of operation was carried out in the controlled zone of the nuclear power plant, which was specific due to the presence of ionizing radiation. The methodology, technique and method of verification had to be adapted to this.

MM Science JournalVol. 2024(5)
Openalex Percentile: Top 77%
Robot Manipulation and Learning
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