Fleet Manager

Traffic management of the mobile robots already present in the plant is necessary after the integration of a fleet manager with different tasks and priorities for vehicles.

Classical approaches to traffic optimization have thousands of variables, discontinuous constraints that are difficult to manage.

The Artificial Intelligence-based Fleet Manager developed by Autognity makes it possible to minimize the start-stop of AGVs / AMRs in the crossing zone and maximize line productivity, using Deep reinforcement learning methodology.


Production and logistic scheduling
Material requirements
Machineries information

Fleet manager

Job scheduling
Traffic management
Routing optimization
Deep learning tools
AMR battery management

AMR Fleet

Vehicle to vehicle communication
Vehicle to infrastructure communication