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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Vydáno v:Robotics and computer-integrated manufacturing Ročník 77; s. 102349
Hlavní autoři: Wan, Guangxi, Dong, Xiaoting, Dong, Qingwei, He, Yunpeng, Zeng, Peng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.10.2022
Elsevier BV
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ISSN:0736-5845, 1879-2537
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Shrnutí: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.
Bibliografie:ObjectType-Case Study-2
SourceType-Scholarly Journals-1
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ObjectType-Feature-4
ObjectType-Report-1
ObjectType-Article-3
ISSN:0736-5845
1879-2537
DOI:10.1016/j.rcim.2022.102349