The New Logic of Intralogistics: Into the Future with Aulis

How a modular operating system controls autonomous robot fleets − and companies regain their sovereignty.

The world of logistics is changing. Autonomous mobile robots (AMR) and automated guided vehicles (AGVs) are increasingly conquering the intralogistics halls. However, as diversity and complexity increase, so does the need for intelligent, flexible fleet management − one that not only works across manufacturers, but is open, modular and future viable. This is precisely where ”Aulis” comes in. A system that not only orchestrates processes, but also creates new degrees of freedom for companies.

”We wanted to develop a system that is not dependent on one manufacturer or proprietary standards − but one that is open, adaptable and at the same time technologically leading,” says Dr. Peter Detzner from Fraunhofer IML. Aulis is exactly that: a modular, agent-based operating system that raises the internal material flow to a new level.

Autonomous fleets on course: the Aulis principle

Aulis was developed to control heterogeneous fleets − fleets of AGVs (automated guided vehicles) and AMRs (autonomous mobile robotics) from different manufacturers, with different control systems, capabilities and deployment scenarios. The highlight: instead of linking rigid systems, Aulis relies on a modular agent concept. Individual software modules, known as agents, take on specific tasks − from placing orders and route planning to optimizing the entire transport system.

”The whole thing works like a modular system,” explains Detzner. ”Companies can choose exactly the modules they need − and add new ones or adapt existing ones as required.” Aulis relies on open de facto standards such as VDA 5050 or M2X throughout. This enables genuine interoperability. ”We didn’t want to create a new isolated solution, but rather build a bridge − between systems, manufacturers and applications.”

Flexibility meets real-time intelligence

The system currently consists of five main modules: The order agent takes care of the creation and processing of transport orders, networking directly with existing ERP, WMS or MES systems etc. The routing agent plans routes in real time − and always with an eye on current transportation and order situations. The optimization module ensures intelligent distribution of transport resources. Vehicle agents take over communication in accordance with the VDA 5050 standard with the AGVs and AMRs. And the user interface module provides all the information in a clear format − for mobile devices as well as for desktop control stations.

”One of our most important principles is data ownership,” emphasizes Detzner. ”That’s why Aulis can be operated not only in the cloud, but also at the edge or on-premise, i.e. directly at the user’s premises. This means that the data remains exactly where it is generated.” Companies retain control over their data at all times − an important factor, especially in regulated or security-critical areas. 

Simulation and reality in harmony

Aulis not only impresses with its functionality, but also with its ability to integrate virtual environments, augmented reality. This allows real mobile robotics to be combined with simulated AMRs or AGVs − an effect that Fraunhofer IML has impressively demonstrated with the LARS laser projection system (p. 18). ”With LARS, we can make production and logistics processes visible in space and actively involve people,” explains Detzner. Mixed reality thus becomes a bridge between the digital twin and physical reality.

Ein Tablet, auf dem eine Person gerade Aulis bedient
© Fraunhofer IML

One system, many users − open to SMEs

Aulis is not just aimed at large manufacturers or integrators − on the contrary. Small and medium-sized companies (SMEs) in particular benefit from the openness of the system. ”SMEs need solutions that are not expensive, heavyweight or difficult to integrate,” says Detzner. ”Aulis offers exactly that: a lean system that can be integrated with little effort and still meets the highest standards.”

The system offers advantages on many levels: From cost efficiency thanks to open source and permissive licensing to independence from specific manufacturers and the ability to develop your own modules − adapted to the individual use case. 

The platform concept consistently taken further

However, Aulis is also based on a new understanding of innovation: openness, participation and networking. By making the software available as open source, a broad community is involved. ”We can, but don’t want to develop everything on our own − we want to create a strong ecosystem together with users, research partners and system manufacturers,” explains Detzner.

Fraunhofer IML is also taking this idea further with the SKALA project (p. 34). This is about trustworthy, decentralized data processing across company boundaries − an elementary building block for data-based value creation networks. Artificial intelligence (AI), blockchain technologies and open standards form the technological basis here.

AI for everyone − with Omnistics

Another piece of the puzzle in Fraunhofer IML’s system thinking is the Omnistics platform (p. 40). ”AI should not only be accessible to large companies, but should be made available and usable for everyone,” says Detzner. Omnistics offers applications such as Capcast (for capacity forecasts), Pretime (for arrival time predictions), LoOmni Chat (a knowledge assistant) and Frostimate (for freight rate calculation). All services can be used flexibly as AI-asa-Service and expanded as required.

An operating system that is more than just technology

Ultimately, Aulis is more than just another fleet management system for controlling mobile transport robots. It is an expression of a new way of thinking: modular, open, networked. It combines technical excellence with user orientation, data ownership with innovative spirit. ”Aulis is not just software,” summarizes Detzner. ”It is a contribution to a new culture in logistics − one that enables collaboration instead of excluding it. One that relies on standards instead of proprietary solutions. And one that brings people, systems and machines together in a real network.” In this way, an operating system becomes an enabler for smarter, more flexible and more human logistics. All in the spirit of a future that is not only digital − but also sustainable and collaborative. 

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Dennis Lünsch M.Sc.

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Dennis Lünsch M.Sc.

Research Scientist Robotics and Cognitive Systems

Phone +49 231 9743-519

Maximilian Hörstrup

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Maximilian Hörstrup

Research Scientist

Phone +49 231 9743-00

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