Optimizing macro-scale fleet circulation in mega-factories operating more than 150 autonomous mobile robots.
By modeling factory corridors as discrete cellular grids with stochastic pedestrian interruptions, the system predicts congestion hot spots 15 minutes before they manifest.
During shift changeover or peak replenishment hours, algorithms temporarily invert aisle travel directions, converting two-way routes into high-throughput unidirectional expressways.
Deployed in an electronics gigafactory, dynamic flow inversion slashed average AMR travel delays by 42% and increased daily parts deliveries from 12,000 to 18,500.