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自主机器人使能技术在制造业中的应用

ERDŐS Gábor HORVÁTH Gergely JUNIKI Ádám KEMÉNY Zsolt KOVÁCS András NACSA János PANITI Imre PEDONE Gianfranco TAKÁCS Emma TIPARY Bence ZAHORÁN László ABAI Kristóf VÁNCZA József BEREGI Richárd CSEMPESZ János CSERTEG Tamás GODÓ Gábor HAJÓS Mátyás HÁY Borbála HORVÁTH Dániel

南京航空航天大学学报(英文版)2024,Vol.41Issue(4):403-431,29.
南京航空航天大学学报(英文版)2024,Vol.41Issue(4):403-431,29.DOI:10.16356/j.1005⁃1120.2024.04.001

自主机器人使能技术在制造业中的应用

Enabling Technologies for Autonomous Robotic Systems in Manufacturing

ERDŐS Gábor 1HORVÁTH Gergely 2JUNIKI Ádám 2KEMÉNY Zsolt 2KOVÁCS András 2NACSA János 2PANITI Imre 2PEDONE Gianfranco 2TAKÁCS Emma 2TIPARY Bence 2ZAHORÁN László 3ABAI Kristóf 2VÁNCZA József 1BEREGI Richárd 2CSEMPESZ János 2CSERTEG Tamás 3GODÓ Gábor 2HAJÓS Mátyás 2HÁY Borbála 2HORVÁTH Dániel4

作者信息

  • 1. 匈牙利研究网络计算机科学与控制研究所,布达佩斯,匈牙利||布达佩斯经济与技术大学制造科学与技术系,布达佩斯,匈牙利
  • 2. 匈牙利研究网络计算机科学与控制研究所,布达佩斯,匈牙利
  • 3. 匈牙利研究网络计算机科学与控制研究所,布达佩斯,匈牙利||EPIC 非盈利创新实验室,布达佩斯,匈牙利
  • 4. 匈牙利研究网络计算机科学与控制研究所,布达佩斯,匈牙利||厄特沃什·罗兰大学,布达佩斯,匈牙利
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摘要

Abstract

Research of autonomous manufacturing systems is motivated both by the new technical possibilities of cyber-physical systems and by the practical needs of the industry.Autonomous operation in semi-structured industrial environments can now be supported by advanced sensor technologies,digital twins,artificial intelligence and novel communication techniques.These enable real-time monitoring of production processes,situation recognition and prediction,automated and adaptive(re)planning,teamwork and performance improvement by learning.This paper summarizes the main requirements towards autonomous industrial robotics and suggests a generic workflow for realizing such systems.Application case studies will be presented from recent practice at HUN-REN SZTAKI in a broad range of domains such as assembly,welding,grinding,picking and placing,and machining.The various solutions have in common that they use a generic digital twin concept as their core.After making general recommendations for realizing autonomous robotic solutions in the industry,open issues for future research will be discussed.

关键词

工业机器人/自动化/数字孪生/使能技术

Key words

industrial robotics/autonomy/digital twin/enabling technology

分类

信息技术与安全科学

引用本文复制引用

ERDŐS Gábor,HORVÁTH Gergely,JUNIKI Ádám,KEMÉNY Zsolt,KOVÁCS András,NACSA János,PANITI Imre,PEDONE Gianfranco,TAKÁCS Emma,TIPARY Bence,ZAHORÁN László,ABAI Kristóf,VÁNCZA József,BEREGI Richárd,CSEMPESZ János,CSERTEG Tamás,GODÓ Gábor,HAJÓS Mátyás,HÁY Borbála,HORVÁTH Dániel..自主机器人使能技术在制造业中的应用[J].南京航空航天大学学报(英文版),2024,41(4):403-431,29.

基金项目

This research was supported by the European Union within the framework of the"National Laboratory for Autonomous Systems"(No.RRF-2.3.1-21-2022-00002) (No.RRF-2.3.1-21-2022-00002)

the Hungarian"Research on prime exploita-tion of the potential provided by the industrial digitalisation(No.ED-18-2-2018-0006)",and the"Research on coopera-tive production and logistics systems to support a competi-tive and sustainable economy(No.TKP2021-NKTA-01)".We dedicate this article to the memory of our dear departed colleague,Dr.István Mezgár. (No.ED-18-2-2018-0006)

南京航空航天大学学报(英文版)

OACSTPCD

1005-1120

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