Autonomous Mobile Robots (AMRs) in Singapore: How They Are Reshaping Warehouses and Logistics

Singapore’s warehouse and logistics sector is under pressure. Rising labour costs, a persistently tight labour market, and the demands of modern e-commerce fulfilment are pushing businesses to find smarter ways to operate.

Autonomous mobile robots (AMRs) are emerging as one of the most effective tools for addressing these challenges — not by replacing workers, but by enabling smaller teams to achieve significantly greater output.

This guide covers what autonomous mobile robots are, how they differ from older automated guided vehicles (AGVs), how they are being used in Singapore warehouses today, and what businesses need to consider when evaluating AMR adoption. For a broader introduction to warehouse automation technologies, see Goshen’s warehouse automation systems guide.

What Are Autonomous Mobile Robots (AMRs)?

An autonomous mobile robot (AMR) is a self-guided robotic system capable of navigating warehouse and logistics environments without human intervention or fixed infrastructure.

Unlike older automation systems, AMRs use a combination of advanced sensors, 3D cameras, artificial intelligence, and real-time digital mapping to understand their environment and make independent navigation decisions.

This means they can operate safely alongside human workers, respond dynamically to changes in the warehouse layout, and adapt their routes without physical modifications to the facility.

AMR vs AGV: What Is the Difference?

Autonomous mobile robots are often compared to automated guided vehicles (AGVs), an older form of warehouse automation. Understanding the distinction is critical when evaluating which technology is right for your operation.

AMR vs AGV Comparison Table
Feature AMR AGV
Navigation Dynamic — sensors, AI, and digital maps Fixed — wires, magnetic strips, or floor markers
Obstacle Response Automatically reroutes around obstacles Stops and waits until the path is cleared
Infrastructure Needed None — deploys into existing environments Requires floor modifications or installed guides
Flexibility High — routes reprogrammed via software Low — path changes require physical modifications
Deployment Speed Fast — typically weeks Slow — months of infrastructure work
Human Collaboration Designed for safe co-working with human staff Generally requires segregated zones
Best For Dynamic, high-mix environments and e-commerce Repetitive, fixed-path, heavy-load industrial tasks

For most Singapore warehouses — particularly those in e-commerce, third-party logistics, and manufacturing — AMRs offer a faster deployment cycle, greater flexibility, and a more scalable path to automation than traditional AGVs.

5 Ways Autonomous Mobile Robots Are Used in Singapore Warehouses

1. Goods-to-Person Order Picking

AMRs navigate to storage locations, collect shelving units or totes, and transport them to a stationary pick workstation. This eliminates up to 60% of unproductive walking time for pickers. When combined with an automated storage and retrieval system (ASRS), goods-to-person workflows deliver some of the highest throughput rates in modern fulfillment.

2. Pallet and Cart Transport

AMRs move pallets, carts, and heavy loads between receiving docks, storage areas, and despatch zones. This reduces the dependency on manual pallet jacks and forklifts, improving both efficiency and workplace safety.

3. Inventory Replenishment

AMRs automatically replenish pick faces and workstations by transporting stock from bulk storage. This keeps picking stations continuously stocked without requiring dedicated replenishment staff.

4. Inbound Sortation

Upon goods receipt, AMRs transport incoming shipments to their designated storage zones, reducing congestion at receiving docks and speeding up the inbound process.

5. Returns Processing

AMRs transport returned goods to inspection and restock areas, accelerating the returns workflow and reducing the manual handling burden on warehouse teams.

Key Benefits of Deploying Autonomous Mobile Robots in Singapore

1. Significantly Higher Throughput

By eliminating travel time and ensuring continuous movement of goods, AMRs enable warehouse teams to process substantially more orders per shift without increasing headcount.

2. Reduced Labour Dependency

In Singapore’s labour-constrained environment, AMRs allow businesses to scale operations without proportional increases in warehouse staffing. Existing teams can be redeployed to higher-value tasks such as quality control and exception handling.

3. Improved Picking Accuracy

AMR-guided picking workflows reduce the incidence of human error in order fulfilment, leading to fewer mispicks, lower return rates, and improved customer satisfaction.

4. Enhanced Workplace Safety

AMRs are equipped with collision-avoidance technology that enables safe operation alongside human workers. This reduces the risk of workplace injuries associated with manual forklift operations and heavy lifting.

5. Rapid Deployment and Scalability

Unlike AGVs, AMRs require no floor modifications or infrastructure changes. Most deployments can be operational within weeks. Additional units can be added to scale capacity as business volumes grow.

6. Flexibility for Changing Operations

Routes and tasks can be reprogrammed via software in response to seasonal demand, warehouse layout changes, or new business requirements — without any physical modifications to the facility.

IMDA's Support for AMR Adoption in Singapore

The Infocomm Media Development Authority (IMDA) has made autonomous mobile robots a focus area for enterprise digital transformation in Singapore.

Key initiatives include:

  • A programme to support 500 digitally mature enterprises in adopting autonomous robots, with priority given to manufacturing, logistics, hospitality, and food services sectors
  • Tech Discovery Workshops that help businesses assess AMR suitability and implementation readiness
  • A multi-operator robot testbed launching in Punggol Digital District in 2026, involving DHL, Grab, Certis, and QuikBot, designed to validate AMR services across different operators in a shared environment
  • Collaboration with Singapore Institute of Technology (SIT) on joint labs focused on robot cognitive capabilities, spatial perception, and humanoid parcel sorting for logistics

 

This institutional support significantly reduces the risk for Singapore businesses adopting AMRs, providing access to knowledge resources, co-investment opportunities, and proven deployment frameworks.

How to Choose the Right AMR for Your Operations

Selecting the right autonomous mobile robot requires a clear understanding of your operational requirements and constraints. The following factors should guide the evaluation process.

Payload Capacity

Define the maximum weight the AMR will need to carry — from lightweight tote transport to full pallet movement. Different AMR models are engineered for different load ranges.

Navigation Environment

Assess whether your facility has narrow aisles, multi-level operations, or areas shared with pedestrians and forklifts. Verify that the AMR’s sensor suite and navigation software are suited to your specific environment.

Fleet Management Software

Evaluate the AMR’s fleet management system. It should provide real-time visibility into robot status, task allocation, and performance analytics, and ideally integrate with your existing WMS or ERP platform.

Throughput Requirements

Determine the number of picks, movements, or transport cycles required per shift. This informs the number of AMR units needed and the appropriate robot configuration.

Battery Life and Charging

Consider shift lengths and operational intensity. AMRs with automatic opportunity charging allow near-continuous operation without manual intervention.

Vendor Support and Service

Assess the local support capability of the AMR vendor or implementation partner, including response times, spare parts availability, and software update frequency.

Autonomous Mobile Robots in Action: Singapore Logistics

The deployment of autonomous mobile robots is already well underway in Singapore’s logistics sector.

DHL Singapore

DHL has implemented a fully automated warehouse in Singapore featuring autonomous mobile robots, robotic arms, and IoT-enabled inventory tracking. The integration has significantly improved operational efficiency and reduced error rates across fulfilment operations.

Botsync

Singapore-based AMR developer Botsync — backed by SGInnovate — achieved 240% growth in production trips and 230% revenue growth in 2025, reflecting the accelerating demand for AMR solutions across Singapore’s industrial sectors.

Grab Robotics

Grab is piloting its first delivery robot in Singapore’s Punggol district in 2026, as part of a broader push into physical AI and robotics. The pilot addresses Singapore’s labour scarcity in last-mile delivery, where scarce and costly labour limits the ability to scale delivery networks.

 

These examples demonstrate that autonomous mobile robots are not a future technology in Singapore — they are already being deployed at scale across logistics, e-commerce, and last-mile delivery operations.

FAQ: Autonomous Mobile Robots in Singapore

What is an autonomous mobile robot (AMR)?

An AMR is a self-navigating robotic system that uses sensors, AI, and digital mapping to move through warehouse or logistics environments independently, without fixed tracks, wires, or floor markers.

An AGV follows a fixed, pre-defined path and stops when it encounters an obstacle. An AMR navigates dynamically, rerouting around obstacles in real time. AMRs require no floor infrastructure, deploy faster, and offer significantly more operational flexibility than AGVs.

Yes. Many AMR solutions are available on a scalable, modular basis, allowing SMEs to start with a small fleet and expand as operations grow. IMDA’s enterprise support programmes also make AMR adoption more accessible for smaller businesses.

Because AMRs require no floor modifications, deployment timelines are significantly shorter than AGV installations. Most AMR deployments are operational within two to six weeks, depending on fleet size and the complexity of WMS integration.

IMDA actively supports AMR adoption through its enterprise digitalisation programmes. In addition, Singapore’s Enterprise Development Grant (EDG) and Productivity Solutions Grant (PSG) may cover qualifying AMR implementation costs. Businesses should confirm current eligibility with Enterprise Singapore or an accredited advisor.

Conclusion

Autonomous mobile robots are reshaping warehouse and logistics operations in Singapore by enabling businesses to do more with the same headcount, improve fulfilment accuracy, and build the operational resilience needed to meet growing demand.

With strong institutional support from IMDA, government grants available to offset implementation costs, and a growing ecosystem of proven AMR deployments across Singapore, there has never been a stronger case for evaluating AMR adoption.

Businesses that invest in autonomous mobile robots today will be better positioned to scale efficiently, manage labour constraints, and compete effectively in an increasingly automated logistics landscape.

To explore how autonomous mobile robots can be integrated into your Singapore facility, visit Goshen’s robotics and automation services page or contact the team for an obligation-free consultation.

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