Projects

Aulis ist ein agentenbasiertes, modulares Betriebssystem für die Intralogistik, das den innerbetrieblichen Transport von Gütern mit Fahrerlosen Transportfahrzeugen (FTF) und autonomen mobilen Robotern (AMR) effizient organisiert. Durch die konsequente Verwendung offener De-facto Standards wie der VDA 5050 und M2X bleibt Aulis herstellerunabhängig und flexibel. Dies ermöglicht eine einfache und nahtlose Integration in bestehende IT-Landschaften – ganz im Sinne eines echten Plug'n'Play-Ansatzes.

SHIELD is researching harmonic radar at 61/122 GHz as an interference-resistant real-time localization system for intralogistics. Seven partners are developing compact tags and sensor networks that locate autonomous guided vehicles and small load carriers with millimeter precision—even in metal-rich, dynamic warehouse environments. The technology combines accuracy, reliability, and cost-effectiveness in a single sensor system.

6GEM and 6GEM+ are research hubs developing 6G communication systems for the connected digital industry, mobility and emergency response. While 6GEM lays the groundwork for open, secure and efficient 6G mobile communication systems, 6GEM+ translates these approaches into industrial applications. The Fraunhofer Institute for Material Flow and Logistics (IML) validates 6G mobile communications, 5G Advanced, Open Radio Access Network (O-RAN), cloud-edge computing and the Industrial Metaverse in realistic intralogistics test environments using robot swarms, motion capture and cloud-edge infrastructure.

As an outdoor AGV, O³dyn represents a new class of autonomous transport robots in logistics. The system combines high performance, dynamics, and flexibility in a hybrid vehicle for indoor and outdoor use. It transports pallet loads omnidirectionally at speeds of up to 36 km/h and leaves the protected environment of warehouses to operate autonomously on company premises. Simulation-based artificial intelligence forms a digital continuum that supports the vehicle’s development, testing, and safety.

Plan & Play zeigt, wie 5G-Campusnetze für Intralogistik und Großveranstaltungen schnell geplant, aufgebaut und getestet werden können. KI-basierte Netzplanung, flexible 5G-Hardware und reale Demonstratoren bilden die Grundlage, um temporäre Campusnetze effizient und bedarfsgerecht einzusetzen.

Temp2Net makes cold chains transparent: The modular IoT shipping label measures temperature, vibration, and location in real time and records events tamper-proof via blockchain – from order picking to delivery. Lower risk, paperless, auditable, and scalable for thermologistics.

The project to develop the ITCPRO level sensor demonstrates how event-based level measurement improves waste management logistics and the circular economy both ecologically and economically. The low-cost level sensor operates with ultra-low power, measures the fill level of sealed safety and recycling containers, and transmits data to backend systems via NB-IoT. Smart contracts generate tamper-proof records and enable automated billing. This page is aimed at managers who want to manage logistics processes using data and demonstrate environmental and economic benefits.

LoadRunner represents a new generation of highly dynamic robots in intralogistics. The mobile robots feature an omnidirectional chassis and can reach speeds of up to 10 m/s. As automated guided vehicles, they sort packages and handle luggage – with minimal infrastructure and high scalability.

evoBOT® represents the new generation of autonomous mobile robots that support logistics processes in warehouses and production facilities. The highly dynamic, balanced robot combines high speed, variable load capacity, and simulation-based development, and leverages its modularity to serve as a versatile, open, and scalable platform.

The Sensing Puck makes cold chains transparent: The robust IoT device measures temperature, humidity, and position, logs events, and simplifies quality control. Ideal for the chemical industry and other sectors that must maintain a temperature of 15–25 °C. For fewer complaints and greater process reliability.