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AMR Picking Robot for Warehouse - Autonomous Mobile Robot for Order Picking
AMR Picking Robot

AMR Picking Robot for Warehouse

Autonomous mobile robot for warehouse order picking with goods-to-person system, delivering 2-3x efficiency improvement for e-commerce fulfillment centers

600 kg
Payload Capacity
+/-10 mm
Positioning Accuracy
8+ hrs
Battery Runtime

What Is an AMR Picking Robot?

An AMR Picking Robot (Autonomous Mobile Robot for Picking) is a self-navigating warehouse robot that implements the goods-to-person order fulfillment model. Instead of workers walking through aisles to find products, the AMR autonomously travels to storage racks, lifts and transports entire shelving units or totes to stationary picking stations where operators extract the required items.

Equipped with LiDAR SLAM and Visual SLAM navigation, the robot builds and updates its map in real time, enabling deployment in existing warehouse layouts without floor modifications. Onboard computing and cloud-connected fleet management software coordinate hundreds of units simultaneously, optimizing travel paths and task assignments to maximize throughput.

How It Works: The Goods-to-Person Cycle

  1. Order received — WMS sends pick orders to the fleet management system
  2. Task assignment — WCS allocates the nearest available AMR to the target shelf pod
  3. Autonomous navigation — AMR navigates to the shelf using LiDAR SLAM, avoiding obstacles dynamically
  4. Shelf retrieval — Robot lifts the rack or tote (up to 600 kg) using its hydraulic lift mechanism
  5. Transport to station — AMR carries the shelf to a human picking station along the optimized path
  6. Pick confirmation — Operator picks items guided by pick-to-light or put-wall display
  7. Return cycle — AMR returns the shelf to its storage location and accepts the next task

Core Features & Capabilities

High-Throughput Picking Performance

Each picking station powered by AMR robots achieves 250-400+ picks per hour through the goods-to-person workflow. The robot handles all travel time while operators focus solely on item extraction, eliminating the walking overhead that limits manual picking to 50-150 picks per hour.

Continuous 8+ Hour Operation

The lithium iron phosphate (LiFePO4) battery delivers over 8 hours of continuous operation on a single charge. Opportunity charging during shift breaks or low-demand periods extends uptime to near 24/7 coverage without battery swap downtime.

360° LiDAR Safety System

Dual LiDAR scanners provide 360-degree obstacle detection with 3D camera fusion for comprehensive situational awareness. Front and rear safety scanners trigger automatic deceleration and emergency stops when personnel or obstacles enter the safety zone, compliant with ISO 3691-4.

Plug-and-Play WMS Integration

Pre-built connectors for SAP EWM, Oracle WMS, and Cainiao WMS enable rapid integration via REST APIs. The WCS middleware layer handles order decomposition, task sequencing, and real-time synchronization between your warehouse management system and the robot fleet.

Zero Infrastructure Modification

LiDAR SLAM-based navigation eliminates the need for magnetic tape, QR codes, reflector arrays, or floor-embedded guide wires. The AMR maps your warehouse autonomously during initial setup and dynamically re-maps when layouts change, preserving full operational flexibility.

Scalable Fleet Architecture

Start with as few as 5 robots and scale to 500+ units within a single facility. The cloud-native fleet management platform dynamically rebalances tasks, optimizes traffic flow, and supports multi-zone operations across multiple warehouse floors or connected buildings.

Real-Time Fleet Monitoring

A centralized dashboard provides live visibility into every robot's status: battery level, current task, location, travel path, and diagnostic health data. Managers can monitor KPIs, identify bottlenecks, and adjust fleet allocation from a single interface.

Adaptive Payload Handling

The 600 kg rated payload covers standard shelving units, rolling carts, and heavy totes used in e-commerce fulfillment. The hydraulic lift mechanism provides smooth, stable elevation with precise height control at +/-10mm docking accuracy for seamless shelf handoff at picking stations.

Technical Specifications

Physical & Mechanical
Dimensions (L×W×H)580 × 580 × 230 mm (body, lift retracted)
Vehicle Weight~130 kg (without battery)
Payload Capacity600 kg (1,322 lbs)
Lift Stroke50 mm (standard), custom available
Drive TypeDifferential drive with omnidirectional option
Wheel TypeNon-marking polyurethane, anti-static
Navigation & Positioning
Primary NavigationLiDAR SLAM (2D + 3D)
Secondary NavigationVisual SLAM (camera-based)
Positioning Accuracy+/-10 mm, +/-1 degree
Map BuildingAutonomous SLAM mapping, no pre-markers
Dynamic Re-MappingReal-time obstacle detection and path replanning
Minimum Aisle Width1,500 mm
Performance
Max Speed (loaded)2.0 m/s (forward), 0.5 m/s (reverse)
Acceleration0.5 m/s²
Turning Radius0 mm (in-place rotation capable)
Climbing Ability3 degrees / 5% gradient
Throughput per Station250-400+ picks/hour
Fleet ScaleUp to 500+ robots per facility
Power & Battery
Battery TypeLiFePO4 (Lithium Iron Phosphate)
Battery Capacity48V / 30Ah (configurable)
Continuous Runtime8-10 hours (typical mixed duty cycle)
Charge Time (full)1.5 hours
Charging MethodAuto-docking contact charge / opportunity charge
Battery Cycle Life>2,000 cycles to 80% capacity
Safety Systems
Obstacle Detection360° LiDAR + 3D depth camera
Safety ScannersFront + rear safety-rated LiDAR scanners
BumpersMechanical + electronic bumpers (full perimeter)
Emergency StopPhysical E-stop button + auto proximity stop
Audio/Visual AlertsDirectional beacon, warning tones, status LEDs
Safety ComplianceISO 3691-4, CE marked
Communication & Software
WirelessWiFi 802.11 a/b/g/n/ac (2.4/5 GHz), 4G LTE
WMS InterfacesSAP EWM, Oracle WMS, Cainiao, REST API
Fleet ManagementCloud-native, real-time task scheduling & routing
OTA UpdatesOver-the-air firmware and software updates
Data ProtocolMQTT / HTTP REST / WebSocket
Operating SystemLinux-based RTOS

System Architecture & Integration

Software Stack

Layer 4: WMS (Customer System)

SAP EWM / Oracle WMS / Cainiao WMS / Custom ERP — generates pick orders and manages inventory

Layer 3: WCS Middleware

Order decomposition, wave planning, task sequencing — bridges WMS order data with robot-executable tasks

Layer 2: Fleet Management System (RCS)

Real-time robot scheduling, traffic control, path optimization, battery management, and fleet health monitoring

Layer 1: AMR Robot Hardware

Onboard LiDAR SLAM navigation, motor control, lift mechanism, safety systems, and sensor fusion processing

Deployment Process

Phase 1: Site Survey & Mapping (1-2 days)

Facility walkthrough, rack layout measurement, network assessment, and initial SLAM map generation

Phase 2: WMS/WCS Integration (3-5 days)

API configuration, order flow mapping, pick station setup, and data synchronization testing

Phase 3: Pilot Deployment (1-2 weeks)

5-10 robot pilot zone, operator training, throughput validation, and performance tuning

Phase 4: Full Rollout & Optimization (ongoing)

Scale fleet to production size, optimize traffic patterns, expand to additional zones, continuous monitoring

Application Scenarios

E-Commerce Fulfillment Centers

High-SKU, high-order-volume environments processing 5,000-50,000+ orders per day. AMR picking robots handle the surge of single-item and multi-item orders, enabling same-day and next-day delivery commitments. The goods-to-person model reduces pick errors to below 0.1% with pick-to-light guidance.

Third-Party Logistics (3PL) Warehouses

Multi-client 3PL facilities with fluctuating order volumes and diverse product profiles. AMR fleet sizing scales up or down per client needs. Quick reconfiguration between zones supports onboarding new clients without hardware redesign. Cloud-based multi-tenant management keeps client data isolated.

Retail & Omnichannel Distribution

Retail distribution centers serving both store replenishment and direct-to-consumer shipments. AMR robots manage shelf replenishment for store orders while simultaneously processing e-commerce picks. Unified inventory visibility across channels ensures accurate stock allocation.

Cold Chain & Pharmaceutical Warehousing

Temperature-controlled environments (-25°C to +8°C) where human working time is limited. AMR robots operate continuously in cold storage, reducing the exposure time for human pickers. Pharmaceutical traceability requirements are met through integrated barcode scanning and lot tracking at each pick station.

Electronics & 3C Component Distribution

High-value, high-SKU warehouses requiring precise inventory tracking and anti-static handling. AMR robots equipped with ESD-safe materials and precision docking protect sensitive components. Sequential pick-to-order workflows support complex kit assembly for manufacturing lines.

Book & Media Fulfillment

High-volume, low-weight item warehouses with millions of SKUs. AMR picking robots optimize the retrieval of books, media, and consumer goods with dense storage configurations. Random storage strategies combined with real-time inventory tracking maximize space utilization.

Environmental & Operating Specifications

0~45°C
Operating Temperature
20~85%
Relative Humidity (non-condensing)
IP43
Ingress Protection Rating
<70 dB
Noise Level (at 1m)
Concrete
Floor Type (flat, hard surface)

Frequently Asked Questions

How does the AMR picking robot navigate without floor markers?

The robot uses LiDAR SLAM (Simultaneous Localization and Mapping) combined with Visual SLAM to build and maintain a real-time map of the warehouse. The LiDAR sensor scans the surrounding environment at 270-360 degrees, detecting walls, racks, and obstacles. Visual SLAM uses onboard cameras to recognize visual landmarks and features. This sensor fusion enables navigation accuracy of +/-10mm without any floor-embedded markers, magnetic tape, or reflector arrays.

What WMS and ERP systems are supported?

The AMR picking robot integrates via REST API with all major warehouse management systems including SAP Extended Warehouse Management (EWM), Oracle WMS Cloud, Cainiao WMS, Manhattan Associates, and Blue Yonder. Our WCS middleware layer handles order decomposition and task sequencing, making it compatible with custom ERP systems as well. Integration typically requires 3-5 days of configuration and testing.

How many AMR robots do I need for my warehouse?

Fleet sizing depends on order volume, SKU count, warehouse layout, and target throughput. As a general guideline: a facility processing 5,000 orders/day typically requires 15-30 robots; 10,000 orders/day requires 30-60 robots; 50,000+ orders/day may need 100-200+ units. We conduct a free facility assessment to provide a precise fleet sizing recommendation based on your specific operational parameters.

What happens when an AMR robot encounters an obstacle or person?

The robot employs a multi-layer safety system. The 360° LiDAR detects obstacles at up to 30 meters and initiates path replanning. As the robot approaches within the safety zone (adjustable, typically 2-5 meters), front safety scanners trigger automatic deceleration. If an object enters the immediate proximity zone, the robot performs an emergency stop. Physical bumpers provide a final mechanical safety layer. The robot then waits until the path is clear before resuming movement.

Can the AMR picking robot operate in cold storage environments?

Yes. Standard models operate in temperatures from 0°C to 45°C. For cold chain applications, we offer cold-storage-rated variants designed for temperatures down to -25°C, with specialized battery heating systems, sealed electronics, and anti-condensation measures. These units are suitable for frozen food warehouses, pharmaceutical cold chain, and chilled distribution centers.

What maintenance does the AMR picking robot require?

The AMR is designed for minimal maintenance. Recommended service intervals include: weekly visual inspection of wheels and bumpers, monthly LiDAR lens cleaning, quarterly battery health assessment, and annual comprehensive service. The fleet management system provides predictive maintenance alerts based on motor hours, battery cycle counts, and component wear data. Most routine maintenance can be performed by in-house technicians after initial training.

Ready to Automate Your Warehouse Picking?

Contact our engineering team for a free facility assessment, custom fleet sizing recommendation, and integration plan for your warehouse operation.