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Advisor(s)
Abstract(s)
The adoption of industrial cyber-physical systems is facing several challenges, with artificial
intelligence and self-organization techniques assuming critical aspects to be considered
in the deployment of such solutions to support the dynamic evolution and adaptation
to condition changes. This paper describes the implementation of a modular, flexible and
self-organized cyber-physical conveyor system build up with different individual modular
and intelligent transfer modules. For this purpose, multi-agent systems are used to distribute
intelligence among transfer modules supporting pluggability and modularity, complemented
with self-organization capabilities to achieve a truly self-reconfigurable system.
Furthermore, Internet of Things and Artificial Intelligence technologies are used to enable
the real-time monitoring of the system, aiming the detection and prevention of anomalies in
advance, and to enable the protection from possible external threats.
Description
Keywords
Multi-agent systems Cyber-physical systems Self-organization Internet of things Machine learning
Pedagogical Context
Citation
Leitão, Paulo; Barbosa, José; Funchal, Gustavo; Melo, Victoria (2020). Self-organized cyber-physical conveyor system using multi-agent systems. International Journal of Artificial Intelligence. ISSN 0974-0635. 18:2, p. 171-185