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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Veröffentlicht in:Robotics and computer-integrated manufacturing Jg. 77; S. 102349
Hauptverfasser: Wan, Guangxi, Dong, Xiaoting, Dong, Qingwei, He, Yunpeng, Zeng, Peng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.10.2022
Elsevier BV
Schlagworte:
Agent
Agile manufacturing
Agility
Automation
Computer models
Industrial robots
Manufacturing
Manufacturing engineering
Modular design
Programming languages
Robotics
Agent
Manufacturing
Robotics
Agility
ISSN:0736-5845, 1879-2537
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Zusammenfassung: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.
Bibliographie:ObjectType-Case Study-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-4
ObjectType-Report-1
ObjectType-Article-3
ISSN:0736-5845
1879-2537
DOI:10.1016/j.rcim.2022.102349