Automated Guided Vehicles (AGVs) are fully autonomous vehicles capable of transporting goods in industrial environments. To accommodate new and future system requirements such as flexibility and openness, we have applied a multi-agent system to develop a decentralized control architecture for an AGV transport system. In this paper, we present an overview of the system’s software architecture and focus on two specific problems: transport allocation and collision avoidance. We discuss the evaluation of the software architecture and test results obtained from realistic simulations and a demonstration system we developed. The architectural design and development of this real-world application has led us to understand that the main usefulness of a location-based multi-agent system comes from the way its software is constructed. In particular, a set of adaptive agents coordinating through an environment allows adapting the software architecture of a transport application to provide the required system functionalities and achieve important quality goals (flexibility and openness)
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