Design and implementation of agent-based robotic system for agile manufacturing: A case study of ARIAC 2021

We share our experience and lessons learned from participating in the Agile Robotics for Industrial Automation Competition (ARIAC), 2021. We won 1st place in the finals and benefited from an agent-based architecture, task assignment strategy, and modular software programming design method based on t...

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Vydané v:Robotics and computer-integrated manufacturing Ročník 77; s. 102349
Hlavní autori: Wan, Guangxi, Dong, Xiaoting, Dong, Qingwei, He, Yunpeng, Zeng, Peng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 01.10.2022
Elsevier BV
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ISSN:0736-5845, 1879-2537
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Abstract We share our experience and lessons learned from participating in the Agile Robotics for Industrial Automation Competition (ARIAC), 2021. We won 1st place in the finals and benefited from an agent-based architecture, task assignment strategy, and modular software programming design method based on the Unified Modeling Language. •An agent-based architecture is proposed to implement an agile industrial robotics system.•Instant task assignment strategy for scheduling in proposed to handle the unknown disturbances.•The development takes loosely-coupled software modules to reduce the design effort.
AbstractList We share our experience and lessons learned from participating in the Agile Robotics for Industrial Automation Competition (ARIAC), 2021. We won 1st place in the finals and benefited from an agent-based architecture, task assignment strategy, and modular software programming design method based on the Unified Modeling Language. •An agent-based architecture is proposed to implement an agile industrial robotics system.•Instant task assignment strategy for scheduling in proposed to handle the unknown disturbances.•The development takes loosely-coupled software modules to reduce the design effort.
We share our experience and lessons learned from participating in the Agile Robotics for Industrial Automation Competition (ARIAC), 2021. We won 1st place in the finals and benefited from an agent-based architecture, task assignment strategy, and modular software programming design method based on the Unified Modeling Language.
ArticleNumber 102349
Author Dong, Qingwei
Dong, Xiaoting
Zeng, Peng
He, Yunpeng
Wan, Guangxi
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Snippet We share our experience and lessons learned from participating in the Agile Robotics for Industrial Automation Competition (ARIAC), 2021. We won 1st place in...
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SubjectTerms Agent
Agile manufacturing
Agility
Automation
Computer models
Industrial robots
Manufacturing
Manufacturing engineering
Modular design
Programming languages
Robotics
Title Design and implementation of agent-based robotic system for agile manufacturing: A case study of ARIAC 2021
URI https://dx.doi.org/10.1016/j.rcim.2022.102349
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