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.