CeMAT 2020, 20 - 24 April
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Logistics Solutions Forum

Navigation 4.0 - Networked cooperation for collective optimization

Location & Language

Hall 21, Stand C46



Simultaneous interpreting


Event Details

Type of event



Autonomization, Transport logistics


Driverless and autonomous into the future

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First the key elements of autonomous navigation of individual mobile robots are explained: Sensor data processing, environmental modeling, localization, path planning and path optimization. Afterwards networked mobile navigation in the context of industry 4.0 is described. With shared obstacle maps alternative routes can be identified early by cloud services. A cooperative long term SLAM provides an all-time up to date map for localization where changes in dynamic environments are immediately available for all mobile systems. The communication between mobile systems sharing the same traffic space results in efficient motions without waiting time still remaining flexible to dynamic obstacles. Finally cloud based maps with real time information about dynamic obstacles enable the interaction between simulated and real mobile systems and therefore lay ground for the simulation of large fleets on the base of real-time data.


 Dr.-Ing. Kai Pfeiffer

Dr.-Ing. Kai Pfeiffer

Group Manager, Fraunhofer Institut für Produktionstechnik und Automatisierung (IPA)

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