自主机器人使能技术在制造业中的应用OACSTPCD
Enabling Technologies for Autonomous Robotic Systems in Manufacturing
自主制造系统的研究既受益于信息物理融合系统这一新技术的推动,也响应工业实际需求的号召.目前,先进的传感器技术、数字孪生、人工智能和新型通信技术可以支持半结构化工业环境中的自主操作,可实现对生产过程的实时监控、情况识别和预测、自动和自适应(重新)规划、团队合作,以及通过学习提高性能.本文总结了实现自主工业机器人技术的主要需求,提出了实现此类系统的通用工作流程,并介绍了HUN-REN SZTAKI最近在装配、焊接、打磨、拾取和放置以及机械加工等多个应用领域的广泛实践.这些解决方案的共同点是以通用的数字孪生概念为核心.最后,本文提出实现工业自主机器人解决方案的一般建议,并讨论了未来要研究的一些开放性问题.
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.
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
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
电子信息工程
工业机器人自动化数字孪生使能技术
industrial roboticsautonomydigital twinenabling technology
《南京航空航天大学学报（英文版）》 2024 (004)
403-431 / 29
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);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.
评论