GONDOLA.AMR

Purpose-built fleet management and task orchestration platform for Autonomous Mobile Robots. Dynamic task rebalancing, predictive maintenance scheduling, and multi-vendor coordination — all from a single pane of glass.

Multi-VendorFleet ManagementPredictive MaintenanceDynamic Rebalancing

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GONDOLA.AMR — Fleet Operations Dashboard

500

Max Fleet Size

30%

Fleet Efficiency Gain

v3.0

Latest Release

// OVERVIEW

Fleet Intelligence at Industrial Scale

GONDOLA.AMR provides a unified operations layer that abstracts away the complexity of managing heterogeneous AMR fleets. Whether you operate 10 robots or 500, the platform delivers consistent fleet-level coordination, real-time traffic management, and actionable maintenance intelligence.

Dynamic Task Rebalancing

GONDOLA.AMR continuously rebalances task assignments based on robot proximity, battery state, current load, and real-time traffic density. Idle time drops, throughput rises — without any manual intervention.

Predictive Maintenance Scheduling

Machine learning models trained on each robot's operational history predict wheel motor wear, battery capacity degradation, and sensor drift — scheduling maintenance during natural idle windows before failures occur.

Multi-Vendor Traffic Management

A unified fleet map prevents collisions across all robot types and vendors simultaneously. Zone-based access control, dynamic speed limiting, and autonomous rerouting around blocked paths work out of the box.

// FLEET MAP

Real-Time Fleet Visualization and Incident Management

The GONDOLA.AMR operations console gives your floor supervisors a live bird's-eye view of every robot — position, task status, battery level, and path quality — updated at 5Hz. Click any robot to inspect its mission queue, sensor readings, and diagnostic trouble codes.

Color-coded zone status with dynamic heatmap overlay (congestion, idle, charging)
One-click robot isolation and maintenance mode assignment
Automated incident ticket creation with root-cause classification
Shift handover reports: fleet performance summary for incoming supervisors

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GONDOLA.AMR — Fleet Map Console

// INTEGRATION

Native STREAM.WES Integration for Hybrid Fleets

When GONDOLA.AMR runs alongside STREAM.WES, AMR missions are automatically created from WMS fulfillment tasks — pick lists become robot missions, order waves become dispatch batches. Traditional conveyor and AS/RS equipment shares the same orchestration layer as your AMR fleet.

Unified task queue: AMRs and conveyors in the same priority-sorted list
Automatic dead-zone detection: AMRs never block fixed infrastructure
Charge scheduling optimization: robots top up during trough periods
Cross-fleet KPI aggregation in CONNING.TOWER command center

See STREAM.WES Integration

GONDOLA + STREAM.WES — Hybrid Fleet Orchestration

// TECHNICAL SPECIFICATIONS

Platform Specifications

Fleet Management

Fleet Capacity	Up to 500 AMR units per GONDOLA.AMR instance; horizontal scale for larger fleets
Position Update	Up to 5Hz per robot; configurable based on network bandwidth
Traffic Control	Zone-based access control, dynamic speed limiting, autonomous rerouting
Task Assignment	Nearest-available algorithm with dynamic rebalancing; supports priority override
Mapping	Multi-floor support; automatically generated and updated from operational data
Charging	Automatic opportunity charging scheduling; charge window optimization

Maintenance & Analytics

Predictive Maintenance	ML-based prediction of wheel motor wear, battery degradation, sensor drift; 72h lead time
Diagnostic Codes	Standardized DTC taxonomy across vendors; OEM fault code mapping
Analytics	Fleet utilization rate, mean distance to task, idle time, charge cycle analysis
Integration	Native MQTT and REST; STREAM.WES plugin; HTTP webhook for external systems
Deployment	On-premise server, private cloud, or fully managed SaaS (GONDOLA Cloud)
Mobile Access	Dedicated supervisor mobile app (iOS/Android) with push notifications

// LATEST RELEASE — v3.0

What's New in GONDOLA.AMR v3.0

NEW

Dynamic Task Rebalancing

v3.0 introduces continuous fleet-wide task rebalancing. When a robot stalls or a high-priority order arrives mid-shift, GONDOLA automatically reallocates open tasks to the nearest capable robot in under 2 seconds.

NEW

Predictive Maintenance v2

The updated ML model now predicts wheel motor wear 72 hours in advance with 91% accuracy. Maintenance tickets are automatically scheduled in the gap between shift end and next shift start.

NEW

IAM Robotics Integration

Native support for IAM Robotics Swift Platform added to the vendor library. All existing v2 vendor integrations (Geek+, MiR, Omron, OTTO, Fetch) upgraded to the v3 API specification.

// GET STARTED

Ready to cut AMR idle time and maintenance costs?

Our AMR solutions team will assess your current fleet operation and deliver a GONDOLA.AMR ROI analysis — quantifying idle time recovery, maintenance savings, and throughput gains — within 5 business days.

Request AMR Assessment View All Products