The biggest update to our fleet management platform introduces reinforcement-learning-based traffic control and a redesigned operator dashboard.
FleetOS 2.0 ships today with the most significant set of changes since the platform's initial release. This version is available to all existing subscribers as a free upgrade.
Reinforcement Learning Traffic Control
The headline feature is our new RL-based traffic controller. Instead of applying static routing rules, the controller learns from live fleet behavior and continuously refines its dispatching policy. In internal benchmarks, this reduced average mission latency by 22%.
Redesigned Dashboard
The operator dashboard has been rebuilt from the ground up for clarity. A new map view shows real-time robot positions, mission queues, and zone utilization at a glance. Color-coded heat maps highlight congestion before it becomes a problem.
Integration Highlights
- New REST API v3 with GraphQL support
- Pre-built connectors for major WMS, ERP, and MES platforms
- Webhook notifications for mission events
Upgrade Path
All FleetOS 1.x deployments can be migrated in place. Our team will reach out to schedule a coordinated upgrade window to minimize downtime.