Centralized fleet management platform that coordinates heterogeneous autonomous mobile robots in real time. Manages 100+ vehicles from multiple manufacturers with ≤50ms dispatch latency, intelligent traffic optimization, and VDA 5050 interoperability.
The AMR Fleet Controller is a centralized software platform that manages, dispatches, and optimizes a fleet of autonomous mobile robots within a warehouse or production facility. It sits between upper-level business systems (WMS/MES/ERP) and individual robot vehicles, translating order requirements into coordinated robot tasks.
The controller receives transport orders from the warehouse management system, decomposes them into discrete tasks, assigns them to optimal available vehicles, calculates collision-free routes, and continuously monitors execution. When congestion, obstacles, or vehicle failures occur, the system dynamically re-routes affected robots and reassigns pending tasks — all in real time without human intervention.
WMS sends transport orders via REST API or OPC UA
Controller decomposes orders into vehicle-level tasks and assigns to optimal robots
AI route engine calculates collision-free paths across the map graph
Real-time traffic manager monitors vehicle positions and resolves conflicts
Status feedback flows back to WMS; dashboard provides live fleet visibility
Unified control platform for mixed-vendor AMR, AGV, and autonomous forklift fleets. VDA 5050 standard protocol ensures seamless communication across different manufacturers' vehicles — KUKA, OMRON, ABB, Geek+, Hai Robotics — without custom middleware bridges.
Machine learning algorithms analyze vehicle state, battery level, proximity, and task priority to assign orders to the optimal robot. The system continuously learns from operational patterns, improving allocation efficiency over time and adapting to peak-period demands.
Graph-based traffic engine monitors all vehicle positions at ≤50ms intervals. Intelligent congestion detection triggers dynamic rerouting before bottlenecks form. Multi-level conflict resolution handles intersections, narrow aisles, and elevator sequencing across multi-floor layouts.
Native interfaces via OPC UA, Modbus TCP, MQTT, and RESTful APIs enable plug-and-play connectivity with SAP EWM, Manhattan Associates, Blue Yonder, and custom warehouse systems. Bidirectional data flow supports dynamic order updates and real-time inventory synchronization.
Built-in support for multi-level warehouse layouts with automated elevator call, reservation, and sequencing. Robots across different floors operate as a unified fleet with seamless vertical transport coordination and zone-based access control.
Supports 2D grid maps, topological graphs, and vector-based HD maps up to 500,000 m² per site. Operators can modify zones, one-way restrictions, speed limits, and no-go areas through a drag-and-drop map editor without system restart or code changes.
Intelligent charge management monitors vehicle battery levels and automatically dispatches robots to charging stations during idle periods. Opportunistic charging scheduling ensures fleet availability during peak hours without manual intervention.
Web-based operations dashboard provides real-time fleet visualization, task status tracking, vehicle health monitoring, and KPI reporting. Historical analytics cover throughput rates, task completion times, vehicle utilization, and error frequency — exportable via API.
Onboard vehicle controllers (FLC-200/300 series) handle real-time motion control, obstacle avoidance, and safety functions. Each robot maintains autonomous operation even during network interruptions, executing last-known commands until connectivity resumes.
Central orchestration engine runs on industrial PC or cloud instance. Coordinates task assignment, traffic flow, battery scheduling, and multi-robot collaboration. Supports distributed architecture with edge computing nodes handling up to 50 robots each for large-scale deployments.
Middleware connects fleet operations with WMS, WCS, MES, and ERP systems. Native OPC UA and REST API interfaces enable bidirectional communication — dynamic task updates based on real-time inventory, order priority changes, and production schedule adjustments.
The built-in robot adapter framework allows rapid onboarding of new vehicle types without code changes. Pre-configured adapters are available for VDA 5050-compliant vehicles. For proprietary protocols, the adapter SDK provides a standardized interface to implement custom communication drivers within hours rather than weeks.
Manages 50–200 AMRs performing goods-to-person picking, conveyor feeding, and outbound sorting. The AI route engine optimizes pick paths across zones, dynamically rebalances workload during flash sales, and coordinates elevator traffic in multi-level facilities. Typical deployment: goods-to-person picking stations with 15-second order cycle times.
Coordinates mixed AGV and AMR fleets delivering components to production lines in just-in-time sequences. Integrates with MES to align material flow with production schedules. Handles line-side delivery, empty container return, and cross-shop-floor transport with 99.9% uptime reliability across 24/7 operation.
Manages fleets operating continuously in temperatures down to -25°C with minimal human presence. Battery-aware scheduling accounts for reduced capacity in cold environments. Zone-based access control maintains cleanroom and temperature-segmented area compliance while maximizing throughput.
Multi-client operations with flexible fleet scaling per customer contract. The controller supports virtual fleet partitioning — dedicating robot groups to specific clients while maintaining shared infrastructure. API-driven integration allows rapid onboarding of new customer WMS systems without modifying core fleet logic.
Handles high-SKU-count environments with mixed-case and full-pallet transport. The fleet controller coordinates AMRs between receiving docks, storage zones, and shipping lanes, optimizing load consolidation and staging area utilization for next-day delivery operations.
An AMR fleet controller is centralized software that manages all autonomous mobile robots in a facility from a single platform. It receives transport orders from your WMS, decomposes them into vehicle-level tasks, assigns them to optimal robots based on proximity and battery state, calculates collision-free routes, and continuously monitors execution. When congestion or obstacles are detected, the system dynamically re-routes affected robots — all within a ≤50ms control cycle without human intervention.
Yes. The BRIDZA fleet controller implements the VDA 5050 standard for multi-vendor interoperability. You can operate AMRs from KUKA, OMRON, ABB, Geek+, Hai Robotics, and other VDA-compliant manufacturers on the same platform. For non-VDA vehicles, the robot adapter SDK provides a framework to implement custom communication drivers. Pre-built adapters are available for the most common proprietary protocols.
A single fleet controller instance supports 100+ concurrent vehicles in one deployment zone. For larger operations, the distributed architecture allows federation across multiple zones with centralized visibility. Each edge computing node handles up to 50 robots with shared task pools. The system has been deployed in facilities managing 200+ robots across multiple floors with elevator coordination.
The fleet controller provides native integration through OPC UA, Modbus TCP, MQTT, and RESTful APIs. Pre-built connectors are available for SAP EWM, Manhattan Associates, and Blue Yonder WMS platforms. For custom systems, the REST API supports standard JSON payloads for order creation, status queries, and event subscriptions. Typical integration takes 3–5 business days with our implementation support team.
Three deployment modes are supported. Cloud deployment (AWS IoT / Azure) offers automatic updates and lower upfront infrastructure cost. On-premise deployment on industrial PC provides full data sovereignty and zero network dependency — required for many pharmaceutical and defense facilities. Hybrid deployment combines local edge processing for real-time control with cloud-based analytics and fleet optimization. All modes support OTA rolling updates with zero downtime.
The controller supports three map formats: 2D grid maps for simple environments, topological graph maps for efficient path computation in structured layouts, and vector-based HD maps for high-precision navigation. Each format supports up to 500,000 m² per site. The web-based map editor allows operators to define zones, set speed limits, configure one-way restrictions, and create no-go areas through a drag-and-drop interface — no code changes required.
Get a customized demonstration with your warehouse layout and fleet configuration. Our solutions team will map your integration requirements and provide a deployment timeline.