Autonomous Mobile Robots: Mobile Manipulation and Warehouse Innovation

Industry Overview

Autonomous mobile robots (AMRs) are being increasingly used by manufacturers, logistics companies, distribution centers, and industrial facility managers who want to automate material handling and repetitive operations. In contrast to the traditional automated guided vehicles which generally follow predefined routes, AMRs use various kinds of technologies, including LiDAR, cameras, SLAM (simultaneous localization and mapping), and intelligent navigation, to navigate around dynamic settings. According to the International Federation of Robotics, in 2025, the shipments of professional service robots amounted to nearly 250,000, demonstrating an impressive growth rate of 24% compared to the previous year. The transportation and logistics sector accounted for 117,500, or 47% of all shipment numbers.

Growing Adoption of Autonomous Mobile Manipulation Robots

Autonomous mobile manipulation robots (AMMRs) are being increasingly developed as a result of the expansion of the potential of ordinary AMRs by integrating mobile self-navigating platforms, robot arms, grippers, and machine vision devices. The robots may travel between workstations while carrying out activities such as picking, placing, machine tending, kitting, and part handling. The capacity for integrating mobility and manipulation is especially important in the case of manufacturing and warehousing plants where material must be fetched from different places and not delivered to robots working in certain robotic cells. For example, the German Aerospace Center's (DLR) Autonomous Intelligent Mobile Manipulator (AIMM) was developed as a research prototype in 2025. The system includes perception, reasoning, and manipulation modules. The platform has 13 degrees of freedom and is oriented at manipulating articulated objects like laboratory tools.

Rising Demand for Autonomous Inventory Scanning and Cycle Counting

Autonomous inventory scanning robots are being deployed by warehouses and distribution centers as a means of increasing stock visibility while mitigating disruptions caused by manual cycle counts. Autonomous inventory scanning robots utilize a combination of computer vision, bar code recognition, RFID, and autonomous navigation to scan items stored in high-density racks as well as bulk storage locations. The introduction of the Dane AiR DC autonomous inventory scanning robot, which was jointly developed by Dane Technologies and Brain Corp, took place in March 2025. This robot is capable of combining computer vision, RFID, and barcode technologies to recognize pallets and cases stored throughout the warehouse space, even in racks up to 38 feet high. Meanwhile, in March 2025, Honeywell announced the integration of its SwiftDecoder barcode decoding software with Corvus Robotics' autonomous inventory drones. The integration allows users to perform bar code scanning and inventory auditing simultaneously.

Expansion of Autonomous Floor-Cleaning Robots in Industrial Facilities

Industrial complexes, warehouses, manufacturing plants, and distribution centers are using autonomous cleaning robots to keep up their hygiene standards and decrease the reliance on manual cleaning processes. These robots possess the capabilities of autonomous navigation, obstacles detection, route mapping, and automated charging/docking procedures to effectively clean the floors with minimal interference from the operator. In October 2025, Kärcher presented the robot scrubber KIRA B 200 that is used to perform large-area cleaning in logistics centers and industrial complexes. The autonomous docking station installed on it enables important processes such as charging, water extraction and tank rinsing, and refilling with the clean water to be performed without human intervention. For example, in March 2026, Cleanfix Robotics announced the development of a new generation of floor cleaning robots for large commercial and industrial complexes, logistics centers, and airports.

Increasing Automation of Trailer and Yard Management Operations

Autonomous yard and trailer management vehicles are increasingly being seen as an important area of application as logistics providers look to optimize trailer movements, loading and visibility in distribution centers. Such vehicles utilize autonomous guidance, sensors, cameras, and fleet management software to transport trailers from one loading dock to another as well as to their specified parking location. In July 2025, Outrider introduced its functional safety system for unmanned yard operations, that is capable of performing tasks related to trailer movements, hitching, backing, brake-line connection, and yard inventory management. On the other hand, in July 2026, FedEx and Dexterity launched a broader use of autonomous trailer-loading technology in the FedEx Hagerstown Hub located in Maryland, United States. Such developments illustrate an overall trend towards automation of physically difficult activities in regard to freight trailers and distribution centers.

Growth of Robotic Goods-to-Person Warehouse Systems

Robotic Goods to Person solutions are increasingly being adopted by e-commerce players, retailers, and 3PL firms looking to improve picking efficiency and better utilize their warehouse space. Leveraging this demand growth, in August 2026, Geekplus launched RoboShuttle Hyper, a cutting-edge tote-to-person climbing AMR solution meant to facilitate high throughput e-commerce, fresh-food, cold-chain, and micro-fulfillment applications. Meanwhile, the International Federation of Robotics noted the implementation of Brightpick's autonomous mobile robots in the December 2025 project at Rohlik's Prague fulfillment center, where robots fetch totes from storage locations and convey them to robotic picking stations. The center processes around 7,000 orders a day and holds 18,000 SKUs in ambient, chilled, and frozen storage areas.

Major Drivers, Trends, and Challenges

The widespread use of automation in global manufacturing and logistics operations is boosting the demand for AMRs that can cope with different workflows. According to the IFR's World Robotics 2025 – Service Robots report, the share of the transportation and logistics industry in the sales volume of professional service robots rose by 14% to 102,900 units in 2024 compared to 2023. Hence, the emerging industrial landscape is prompting manufacturers to design more advanced AMRs with greater payloads, better navigational performance, and enhanced fleet management features. As a response, in June 2025, Comau launched MyMR series of AMRs featuring three different models with a payload capacity of 300 kg to 1.5 tons.

Nevertheless, the high cost of investments, interfacing with current WMSs, difficulties with navigation in an ever-changing environment, and the requirement for qualified workers may limit their application. Companies have to tackle issues related to fleet compatibility, battery efficiency, cybersecurity concerns, and safety problems in order to ensure smooth and efficient functioning of autonomous systems.

As part of the broader Warehouse Automation Market, this topical assessment examines autonomous mobile robot technologies, covering mobile manipulation robots, inventory scanning and cycle-counting systems, industrial floor-cleaning robots, autonomous trailer and yard management vehicles, and robotic goods-to-person warehouse systems.

Table of Contents

1. Global Market Size and Growth Assessment

• Market size, historical trends, and forecasts
• Segmentation by robot type, navigation technology, payload capacity, and end-use industry
• Regional market assessment and autonomous mobile robot adoption patterns

2. Growth Opportunity Mapping and Where to Play

• High-growth autonomous mobile robot applications across warehousing, manufacturing, and logistics
• Emerging markets and high-potential opportunities in intelligent intralogistics and industrial automation
• White spaces in mobile manipulation, autonomous inventory management, and multi-robot coordination

3. Autonomous Mobile Robot Architecture and Core Technologies

• Mobile robotic platforms, drive systems, sensors, and autonomous navigation hardware
• LiDAR, 3D vision, sensor fusion, and simultaneous localization and mapping (SLAM) technologies
• AI-based path planning, obstacle avoidance, and real-time autonomous decision-making

4. Autonomous Mobile Manipulation Robots (AMMRs)

• Mobile robotic arms, intelligent grippers, and autonomous manipulation capabilities
• Vision-guided picking, machine tending, kitting, and component handling
• Mobile manipulation for flexible manufacturing and decentralized warehouse operations

5. Autonomous Inventory Scanning and Cycle-Counting Robots

• Autonomous barcode, RFID, and computer vision-based inventory identification
• Aerial and ground-based scanning across high-density warehouse storage systems
• Real-time stock reconciliation, inventory accuracy, and warehouse data integration

6. Autonomous Floor-Cleaning Robots for Industrial Facilities

• Autonomous industrial scrubbers, sweepers, and robotic floor-cleaning platforms
• Automated docking, charging, water replenishment, and maintenance systems
• Navigation safety, cleaning-route optimization, and facility-management integration

7. Autonomous Trailer and Yard Management Vehicles

• Driverless yard trucks, autonomous trailer movers, and navigation systems
• Automated trailer coupling, positioning, and loading-dock coordination
• Yard tracking, fleet management, and transportation system integration

8. Robotic Goods-to-Person Warehouse Systems

• Tote-to-person, shelf-to-person, and robotic storage retrieval configurations
• AMR-based order picking, inventory replenishment, and workstation integration
• High-density storage, micro-fulfillment, and multi-temperature warehouse applications

9. Autonomous Material Transport and Intralogistics Systems

• AMR-based pallet, tote, cart, and container transportation
• Automated material replenishment, line-side delivery, and work-in-progress movement
• Fleet coordination, conveyor integration, and autonomous material transfer between workstations

10. AI Software, Fleet Management, and Autonomous Navigation

• AI-powered perception, object recognition, and autonomous decision-making
• Digital twins, simulation, and intelligent multi-robot fleet orchestration
• Predictive maintenance, real-time monitoring, and autonomous workflow optimization

11. Hardware Integration and Mobile Robotics Infrastructure

• Mobile robot platforms, drive systems, batteries, and charging infrastructure
• Robotic arms, end effectors, sensors, and safety components
• Integration with warehouse management, transportation management, and manufacturing execution systems

12. End-use Industry Assessment

• E-commerce, retail distribution, and third-party logistics
• Automotive, electronics, food processing, and general manufacturing
• Pharmaceuticals, healthcare, cold-chain logistics, and industrial facilities

13. Operational Performance and Cost Assessment

• Payload capacity, navigation accuracy, fleet throughput, and operational efficiency
• Battery life, charging cycles, fleet utilization, and maintenance requirements
• Equipment procurement, integration costs, workplace safety, and return on automation investment

14. Global Competitive Landscape and Supplier Benchmarking

• Leading autonomous mobile robot manufacturers and warehouse automation providers
• Product portfolios, navigation capabilities, application specialization, and geographical presence
• Strategic partnerships, product launches, acquisitions, and technology developments

15. Emerging Innovations and Strategic Outlook

• Physical AI, autonomous manipulation, and next-generation multi-robot coordination
• Intelligent intralogistics, high-density fulfillment, and flexible autonomous fleet operations
• White space opportunities, investment priorities, and strategic recommendations

Related sources

Autonomous Mobile Robots Market

Warehouse Robotics Market

Automated Material Handling Equipment Market