Warehouse AMRs : benefits, use cases and implementation guide

What is an AMR in warehousing?

An Autonomous Mobile Robot (AMR) is a self-navigating robot designed to transport goods, totes, shelving units, or pallets throughout a warehouse without requiring fixed tracks, magnetic tape, or dedicated infrastructure. Using onboard sensors, cameras, and a digital map of its environment, an AMR dynamically calculates the most efficient route while safely navigating around obstacles and working alongside warehouse operators.

Unlike conveyors, automated sorters, or Automated Guided Vehicles (AGVs), which rely on predefined routes, AMRs continuously adapt to their surroundings in real time. This flexibility has made them one of the fastest-growing warehouse automation technologies, driven by the rapid expansion of e-commerce, increasing labor costs, and growing demand for operational efficiency.

This guide explains how warehouse AMRs work, their main use cases, how they compare with AGVs, and how to evaluate whether they are the right automation solution for your operation.

What is an AMR in a warehouse?

An Autonomous Mobile Robot (AMR) is a robotic platform equipped with:

• onboard sensors;
• navigation software;
• wireless communication capabilities;
• a connection to the Warehouse Management System (WMS) or Warehouse Control System (WCS).

The robot receives tasks from fleet management software, such as:

• transporting a tote;
• moving a pallet;
• delivering shelving units to a picking station;
• transferring carts between warehouse zones.

Once assigned, the robot executes each task autonomously before reporting completion back to the warehouse system.

The defining characteristic of an AMR is its ability to navigate independently.

Rather than following a predefined route, the robot continuously analyzes its surroundings, plans the optimal path, avoids obstacles, and automatically adapts whenever the warehouse environment changes.

Unlike industrial robots used in manufacturing, warehouse AMRs are purpose-built for material handling and internal transportation.

Today, their four primary warehouse applications include:

• Goods-to-Person (G2P) picking;
• Person-to-Goods assistance;
• sortation;
• internal material transport.

Each application offers different productivity gains, investment levels, and operational benefits.

How AMRs work

Every warehouse AMR solution consists of three essential layers:

• robot hardware;
• onboard navigation software;
• fleet management software.

Understanding these components is essential when evaluating different vendors.

Robot hardware

The robot itself includes:

• a drive base;
• payload handling equipment;
• batteries;
• onboard computers;
• navigation sensors.

Depending on the model, payload capacities typically range from 30 kg for small tote carriers to more than 1,500 kg for pallet-moving robots.

Most warehouse AMRs operate for 8 to 10 hours before automatically returning to a charging station during periods of low activity.

Navigation system

The onboard navigation system performs several critical functions:

• localization;
• mapping;
• route planning;
• obstacle detection;
• collision avoidance.

This software enables AMRs to move safely alongside warehouse employees, forklifts, and other automated equipment.

Unlike AGVs, navigation decisions are continuously recalculated as warehouse conditions evolve.

Fleet management software

Fleet management software coordinates the entire robot fleet.

Its responsibilities include:

• receiving tasks from the WMS;
• assigning work to the most appropriate robot;
• monitoring battery levels;
• scheduling charging;
• tracking robot locations;
• reporting task completion.

Fleet management is the central orchestration layer that transforms individual robots into a coordinated warehouse automation system.

When integrated with a Warehouse Management System and efficient warehouse optimization processes, fleet software ensures warehouse tasks are completed with maximum efficiency.

AMR navigation technologies

Navigation technology is one of the main differentiators between AMR vendors.

SLAM (Simultaneous Localization and Mapping)

SLAM is the most widely used navigation technology in modern warehouse AMRs.

Using LIDAR sensors, the robot creates a digital map of its surroundings during initial deployment.

As it moves through the warehouse, incoming sensor data is continuously compared with this map to determine the robot's exact position.

One of SLAM's greatest advantages is flexibility.

When warehouse layouts change—for example, after relocating storage racks or adding staging areas—the map can simply be updated without modifying the warehouse floor.

Many leading AMR vendors, including Locus Robotics, Fetch Robotics (Zebra), and Geek+, rely on SLAM technology.

Natural feature navigation

Natural feature navigation operates similarly to SLAM but relies on permanent warehouse structures, such as:

• walls;
• columns;
• rack ends;
• fixed building features.

This approach works particularly well in stable warehouse environments where layouts rarely change.

QR code navigation

Some AMR systems use QR codes or barcode grids installed directly on the warehouse floor.

Downward-facing cameras continuously scan these markers to determine the robot's precise position.

This approach offers exceptional positioning accuracy and is widely used in very high-throughput warehouse environments.

However, it requires floor markings and additional maintenance whenever layouts change.

In practice, SLAM offers greater flexibility, while QR code navigation delivers maximum positioning precision.

AMR vs. AGV: What's the difference?

Although Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) are often compared, they are designed for different warehouse environments and operational requirements.

The key distinction lies in how they navigate.

An AGV follows predefined routes using magnetic tape, embedded wires, or reflective markers. If an obstacle blocks its path, the vehicle typically stops and waits until the route is clear.

An AMR, by contrast, continuously analyzes its surroundings and automatically calculates an alternative route. This ability to adapt makes AMRs particularly effective in warehouses where people, forklifts, and equipment share the same workspace.

AMRs generally require a higher initial investment per unit, but significantly less warehouse infrastructure.

AGVs remain highly effective for repetitive transport tasks such as pallet movements between fixed production lines or conveyor systems, while AMRs excel in fast-changing fulfillment environments where flexibility is essential.

Many modern distribution centers now combine both technologies, using AGVs for predictable transport routes and AMRs for dynamic warehouse operations.

Main warehouse AMR use cases

Warehouse AMRs can support several operational workflows depending on business needs and warehouse layout.

Goods-to-Person (G2P)

Goods-to-Person (G2P) is the highest-productivity AMR application.

Instead of operators walking through the warehouse, robots transport shelving units or inventory pods directly to fixed picking stations.

The workflow is simple:

1. The robot retrieves the storage pod.
2. It delivers the pod to the operator.
3. The operator picks the required items.
4. The robot returns the pod to storage before retrieving the next one.

Because picker travel is virtually eliminated, productivity can increase dramatically.

Typical performance ranges include:

• 400–600 picks per hour in G2P environments;
• compared with approximately 80–120 picks per hour using conventional walking-based picking methods.

This model is widely associated with Amazon Robotics (formerly Kiva).

For organizations looking to optimize pick and pack operations, G2P represents one of the most effective automation strategies available.

Person-to-Goods assist

In a Person-to-Goods model, warehouse operators continue walking through the warehouse, but an AMR accompanies them and transports completed order containers.

The robot:

• follows the operator;
• carries totes or carts;
• automatically delivers completed orders to the packing area;
• returns with an empty container to continue picking.

Unlike G2P systems, this approach requires very little warehouse modification, making it one of the easiest AMR deployments for existing facilities.

Organizations typically report productivity improvements of 20% to 35%, with minimal disruption to daily operations.

Leading vendors in this category include Locus Robotics and 6 River Systems.

Sortation

AMRs can also replace or complement traditional conveyor sortation systems.

Instead of relying on fixed conveyor networks, robots transport individual totes or cartons to:

• outbound lanes;
• packing stations;
• shipping areas;
• dispatch docks.

One major advantage is flexibility.

Changing outbound routes or adding new shipping lanes only requires software configuration rather than expensive conveyor modifications.

Combined with efficient loading dock management and order fulfillment processes, AMR sortation provides a highly scalable outbound workflow.

Internal transport

Internal transport is often the first AMR application implemented by warehouses beginning their automation journey.

Robots automatically move:

• pallets;
• carts;
• totes;
• stillages;

between warehouse zones, including:

• receiving;
• storage;
• picking;
• packing;
• dispatch staging.

By automating repetitive transportation tasks, warehouses reduce forklift traffic, improve labor utilization, and free operators to focus on higher-value activities.

Benefits of warehouse AMRs

Exceptional flexibility

Unlike fixed automation, AMRs adapt quickly to warehouse changes.

Adding new storage zones, modifying picking areas, or expanding outbound operations generally requires only software updates rather than physical infrastructure changes.

This flexibility is one of the biggest reasons why AMRs have become increasingly popular in fast-growing fulfillment centers.

Rapid deployment

Compared with conveyor systems or other fixed automation solutions, AMRs can be deployed remarkably quickly.

Many Person-to-Goods implementations become operational within 4 to 8 weeks, whereas large conveyor installations often require several months of engineering and construction.

Scalability

Warehouse automation can grow incrementally.

Instead of making a large capital investment upfront, organizations simply add more robots as demand increases.

This makes AMRs particularly attractive for businesses experiencing seasonal fluctuations or rapid growth.

Improved safety and ergonomics

AMRs reduce operator travel and heavy manual handling.

Benefits include:

• lower physical strain;
• reduced walking distances;
• fewer repetitive movements;
• improved workplace safety.

Modern AMRs continuously monitor their surroundings using LIDAR sensors, cameras, and obstacle-detection systems, enabling them to work safely alongside warehouse personnel.

Strong performance in cold-storage environments

AMRs also perform extremely well in refrigerated and frozen warehouses.

Because robots handle repetitive transport tasks, employees spend less time in cold environments while productivity remains high.

This makes AMRs especially valuable for organizations operating temperature-controlled warehouse logistics and food distribution facilities.

Limitations and challenges

Although Autonomous Mobile Robots (AMRs) provide significant operational advantages, they are not the right solution for every warehouse. Before investing, organizations should carefully evaluate the technical, operational, and financial constraints that may affect a deployment.

Upfront investment

A warehouse AMR project represents a substantial capital investment.

Typical costs include:

• robot hardware;
• fleet management software;
• WMS integration;
• wireless network upgrades;
• implementation and training.

While the long-term return on investment can be significant, organizations should establish a realistic business case before launching a project.

Dedicated floor space for Goods-to-Person systems

Goods-to-Person (G2P) deployments generally require a dedicated robot operating zone.

In many facilities, this represents 30% to 50% of the warehouse footprint, separated from pedestrian and forklift traffic.

For warehouses with limited available space, this requirement can become a major deployment constraint.

Mixed-traffic management

Although AMRs are designed to work safely alongside people, introducing robots into a warehouse that already operates forklifts requires careful planning.

Successful deployments establish:

• dedicated traffic rules;
• speed zones;
• right-of-way procedures;
• operator training;
• emergency stop protocols.

Compliance with ISO 3691-4 provides an important safety foundation, but every warehouse should also conduct its own site-specific risk assessment.

WMS integration complexity

An AMR solution is only as effective as its integration with the Warehouse Management System (WMS).

The fleet management platform must be able to:

• receive warehouse tasks;
• assign them to robots;
• report task completion;
• synchronize inventory updates.

Organizations using modern WMS platforms generally experience smoother deployments than those relying on highly customized or legacy warehouse systems.

Payload limitations

Not every AMR is designed to move heavy pallets.

Many mobile robots are optimized for:

• totes;
• cartons;
• shelving pods;
• lightweight carts.

Operations primarily handling palletized freight may require specialized pallet AMRs, which involve higher acquisition costs and different deployment considerations.

Building the AMR business case

Most warehouse AMR projects are justified by improvements in three key operational areas:

• labor productivity;
• throughput;
• operational accuracy.

Labor savings

Goods-to-Person systems dramatically reduce operator travel.

In a traditional warehouse, picker travel often represents 50% to 70% of total shift time.

By replacing walking with robot transport, employees spend significantly more time performing productive picking activities.

Example:

• 50 warehouse operators;
• 60% of their time spent walking;
• average fully loaded labor cost of $18/hour.

Recovering that non-value-added travel time can generate over $1 million in annual labor value, depending on warehouse size and operating schedule.

Increased throughput

Person-to-Goods AMRs typically improve productivity by 20% to 35%.

Rather than increasing headcount, organizations can process more orders using the same workforce.

This additional capacity becomes particularly valuable during seasonal peaks or periods of rapid business growth.

Lower error rates

By automating repetitive transport activities, AMRs reduce:

• handling mistakes;
• misplaced inventory;
• manual transport errors;
• unnecessary product movements.

Combined with robust warehouse inventory management practices, these improvements contribute to more reliable warehouse operations.

Typical project costs

A mid-sized deployment involving approximately 20 robots generally includes:

• Robot hardware: approximately $1,000,000
• Fleet management software and WMS integration: $150,000–300,000
• Facility preparation: $50,000–100,000

Overall investment typically ranges between $1.2 million and $1.4 million, depending on warehouse complexity and vendor selection.

Typical payback period

For high-volume Goods-to-Person operations, payback periods commonly range between 13 and 16 months.

Person-to-Goods implementations generally require 24 to 36 months, reflecting lower investment costs but more moderate productivity gains.

Compared with fixed conveyor automation, AMRs often deliver a lower total cost of ownership over a five-year period thanks to their flexibility and scalability.

How to implement AMRs successfully

A structured implementation significantly increases project success.

Step 1: Define the operational use case

Before selecting vendors, clearly identify the warehouse process you want to improve.

Common objectives include:

• Goods-to-Person picking;
• Person-to-Goods assistance;
• sortation;
• internal transport.

Each application requires different hardware, layouts, and investment levels.

Step 2: Assess warehouse readiness

Evaluate:

• floor flatness;
• Wi-Fi coverage;
• traffic flows;
• storage layouts;
• temperature-controlled areas.

This assessment determines whether your facility can support autonomous robot navigation without major infrastructure upgrades.

Step 3: Review WMS integration

Confirm that your Warehouse Management System can communicate effectively with the AMR fleet management software.

Most leading WMS platforms already provide standard integrations with major AMR vendors, reducing deployment complexity.

Step 4: Launch a pilot project

Rather than automating the entire warehouse immediately, begin with one operational area.

Measure baseline KPIs before deployment, including:

• picks per hour;
• travel distance;
• robot utilization;
• picking accuracy.

A pilot lasting 6 to 8 weeks typically provides sufficient operational data to validate the business case before expanding the deployment.

Step 5: Design safety procedures

Successful projects establish:

• traffic management rules;
• operator training programs;
• emergency procedures;
• maintenance workflows.

Clear safety protocols ensure efficient collaboration between robots, warehouse operators, and forklifts.

Step 6: Scale progressively

Once pilot objectives are achieved, additional robots can be deployed incrementally.

This scalability is one of the greatest advantages of AMRs compared with fixed warehouse automation.

Leading AMR vendors

Several companies currently dominate the warehouse AMR market.

Locus Robotics

One of the leading providers of Person-to-Goods robots.

Its Robotics-as-a-Service (RaaS) model has made it particularly popular among e-commerce companies and third-party logistics providers (3PLs).

6 River Systems

Acquired by Shopify, 6 River Systems offers the Chuck collaborative mobile robot, widely deployed across retail and e-commerce fulfillment operations.

Geek+

Geek+ is one of the world's largest AMR manufacturers.

Its portfolio includes:

• Goods-to-Person systems;
• pallet AMRs;
• sorting robots.

The company has established a strong international presence across Europe, Asia, and North America.

Quicktron

Quicktron specializes in:

• Goods-to-Person automation;
• pallet transportation;
• QR-code navigation systems.

Its solutions are widely adopted in large retail and e-commerce distribution centers.

Scallog

Scallog is a French robotics company specializing in modular Goods-to-Person systems.

Its solutions are particularly well suited to mid-sized European warehouses seeking flexible automation.

Körber

Körber combines warehouse software with integrated robotics, offering native AMR capabilities within its warehouse execution platform.

This integrated approach simplifies deployment for organizations already operating Körber Warehouse Management solutions.

Final thoughts

Autonomous Mobile Robots (AMRs) have become one of the most flexible and scalable automation technologies available for modern warehouses. Unlike fixed automation systems, they can adapt to changing layouts, support growing order volumes, and integrate into existing warehouse operations with minimal infrastructure changes.

Whether used for Goods-to-Person picking, Person-to-Goods assistance, sortation, or internal transport, AMRs help reduce non-value-added travel, improve productivity, enhance workplace safety, and increase operational flexibility. Their ability to scale progressively also allows organizations to automate at their own pace while maintaining control over investment costs.

However, a successful AMR deployment depends on more than selecting the right robots. Warehouse readiness, WMS integration, wireless network quality, safety planning, and a well-structured pilot project are all essential to achieving a strong return on investment.

When combined with a modern Warehouse Management System (WMS), efficient warehouse optimization strategies, and streamlined order fulfillment processes, AMRs become a powerful driver of warehouse performance. As supply chains continue to evolve, autonomous mobile robots are set to play an increasingly important role in building faster, safer, and more resilient logistics operations.