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
Deep learning tools
AMR battery management
Vehicle to vehicle communication
Vehicle to infrastructure communication