Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems

Ilya Kovalenko; Daria Ryashentseva; Birgit Vogel-Heuser; Dawn Tilbury; Kira Barton

doi:10.1109/LRA.2019.2921947

Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems

Ilya Kovalenko, Daria Ryashentseva, Birgit Vogel-Heuser, Dawn Tilbury, Kira Barton

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

Distributed multi-agent control has been proposed to improve the flexibility of manufacturing systems. Two important components of this control strategy are product agents, representing physical parts in the system, and resource agents, representing the system resources. Product agents request actions from resource agents to guide physical parts through the manufacturing system. Before requesting specific actions, a product agent must effectively communicate with the system's resource agents to understand the capabilities of the resources on the plant floor. In this letter, an approach to product agent exploration based on a network of resource agents is described and analyzed. In addition, results and insights from an implementation of the proposed exploration methodology in a manufacturing system are presented.

Original language	English (US)
Article number	8733849
Pages (from-to)	2854-2861
Number of pages	8
Journal	IEEE Robotics and Automation Letters
Volume	4
Issue number	3
DOIs	https://doi.org/10.1109/LRA.2019.2921947
State	Published - Jul 2019

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Biomedical Engineering
Human-Computer Interaction
Mechanical Engineering
Computer Vision and Pattern Recognition
Computer Science Applications
Control and Optimization
Artificial Intelligence

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10.1109/LRA.2019.2921947

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abstract = "Distributed multi-agent control has been proposed to improve the flexibility of manufacturing systems. Two important components of this control strategy are product agents, representing physical parts in the system, and resource agents, representing the system resources. Product agents request actions from resource agents to guide physical parts through the manufacturing system. Before requesting specific actions, a product agent must effectively communicate with the system's resource agents to understand the capabilities of the resources on the plant floor. In this letter, an approach to product agent exploration based on a network of resource agents is described and analyzed. In addition, results and insights from an implementation of the proposed exploration methodology in a manufacturing system are presented.",

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AU - Barton, Kira

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Dynamic Resource Task Negotiation to Enable Product Agent Exploration in Multi-Agent Manufacturing Systems

Abstract

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