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  4. Aulis - A modular and agent-based fleet management system for mobile robots

Aulis - A modular and agent-based fleet management system for mobile robots

Publikationstyp
Conference Paper
Date Issued
2026-10-16
Sprache
English
Author(s)
Detzner, Peter
Lünsch, Dennis
Toenning, Lars
Hörstrup, Maximilian
Hantzsch, Marc
Gödeke, Jana
Mohammadi, Mahdokht
Jost, Jana
Technische Logistik W-6
TORE-URI
https://hdl.handle.net/11420/65469
Citation
31st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2026
Contribution to Conference
31st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2026
Publisher DOI
10.1109/etfa68377.2026.11724868
Publisher
IEEE
ISBN of container
979-8-3315-7888-6
979-8-3315-7889-3
Modern intralogistics require flexible automation, yet traditional fleet management system (FMS) architectures are often monolithic and lack the interoperability needed for heterogeneous robot fleets. To address this, we present Aulis, an open-source, modular, and agent-based FMS designed for the vendor-agnostic coordination of mobile robots. Unlike existing closed-source solutions, Aulis decomposes core fleet-management functionalities into lightweight agents and services that communicate via the VDA 5050 standard. This architecture follows cyber-physical system principles by decoupling task allocation, routing, and optimization, thereby enhancing system scalability and maintainability. The framework's extensibility is validated through a matrix-production use case, demonstrating the seamless integration of specialized zone and parking services without altering the core system. Experimental results with heterogeneous fleets confirm the system's ability to optimize makespan and manage traffic density in dynamic environments. Consequently, Aulis provides a research-oriented platform that bridges the gap between modular flexibility and industrial realism for cyber-physical production systems.
DDC Class
620: Engineering
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