Top 50 Autonomous Mobile Robot

Syrius Robotics develops autonomous mobile robots equipped with a proprietary operational system and AIoT cloud service for real-time data processing. These robots enhance operational efficiency in logistics and warehousing by automating material handling and reducing labor costs.

Youibot develops autonomous mobile robots equipped with SLAM navigation technology for industrial logistics and inspection tasks. Their solutions enhance operational efficiency by automating material handling and monitoring processes across various sectors, including semiconductor and e-commerce industries.

ForwardX Robotics develops autonomous mobile robots (AMRs) equipped with computer vision and deep learning algorithms for material handling in warehouses and manufacturing environments. Their technology enhances operational efficiency by increasing picking accuracy and throughput while significantly reducing labor costs and error rates.

OTTO by Rockwell Automation offers autonomous mobile robots (AMRs) designed for efficient material handling in manufacturing facilities and warehouses, capable of transporting loads ranging from 150 kg to 1,900 kg. These robots enhance operational productivity by ensuring timely and accurate deliveries in complex industrial environments, reducing labor costs and improving workflow efficiency.

Standard Robots develops Autonomous Mobile Robots (AMRs) equipped with laser SLAM navigation for efficient material handling in industrial logistics. Their solutions enhance flexibility and productivity in environments like semiconductor manufacturing and automotive assembly, addressing the challenges of manual transport and optimizing workflow.

Keenon provides autonomous mobile robots that perform service tasks such as food delivery, UV‑C disinfection, and visitor reception in indoor commercial venues. The robots use dual‑Lidar SLAM navigation, modular payload bays, and a cloud‑based fleet management platform with open APIs for integration into POS, EHR, and building‑automation systems. This enables operators in hospitality, healthcare, and corporate campuses to automate high‑frequency tasks, reduce labor costs, and maintain consistent service.

Youibot supplies autonomous mobile robots that use SLAM navigation and perception sensors to automate material handling, picking, and inspection tasks in factories, warehouses, and clean‑room environments. Its fleet is managed through the YOUIFleet platform and integrated with MES, WMS and TMS via the YOUITMS API layer, supporting high‑payload lifts, mobile manipulators, and rugged inspection units with CE, ATEX/IECEx and ISO 3691‑4 certifications. The solution reduces labor, improves accuracy, and enables 24/7 operation for manufacturers and logistics operators in sectors such as semiconductor, automotive, and chemicals.

Gideon Brothers develops autonomous mobile robots equipped with AI visual perception to automate manual material handling tasks in manufacturing, logistics, warehousing, and retail. Their technology addresses labor shortages and inefficiencies by increasing throughput, improving process stability, and enhancing workplace safety.

Coalescent Mobile Robotics develops autonomous mobile robots designed for in-store transportation of goods, including restocking and order fulfillment. By automating the movement of trolleys, the robots reduce employee walking time by up to 40%, enhancing operational efficiency and allowing staff to focus on customer-centric tasks.

ANSCER develops Autonomous Mobile Robots (AMRs) designed to optimize material movement and workplace ergonomics in indoor environments. Their technology reduces material handling costs by up to 90%, enhances safety by allowing robots to perform heavy lifting, and maximizes floor space utilization.

Sevensense Robotics develops autonomous navigation systems for mobile robots using advanced sensor fusion and machine learning algorithms. Their technology enables robots to operate safely and efficiently in dynamic environments, addressing the challenges of obstacle detection and path planning in real-time.

Brain Corp develops BrainOS, a cloud-connected platform that powers autonomous mobile robots (AMRs) for tasks such as floor cleaning and inventory management in commercial spaces. By automating these operations, the technology enhances efficiency, reduces labor costs, and provides real-time environmental data, benefiting over 2,700 organizations globally.

The startup develops autonomous mobile robot technology that provides a modular robotic sortation system for distribution and fulfillment operations. This technology enhances operational efficiency by maximizing floor space and throughput while enabling rapid implementation in supply chain environments.

LexxPluss develops customizable hybrid autonomous mobile robots (hybrid-AMRs) designed for the logistics market, enabling the autonomous transport of general-purpose carts weighing up to 500 kg without modifications. Their solutions enhance operational efficiency by integrating seamlessly with existing systems, allowing businesses to scale automation while maintaining safety and minimizing disruption.

Robomart develops autonomous delivery robots equipped with temperature-controlled compartments and advanced sensors for self-driving capabilities, enabling retailers to expand their reach without the need for physical storefronts. This technology addresses the challenge of last-mile delivery by providing a mobile shopping experience that reduces operational costs and enhances customer convenience.

Cartken develops autonomous delivery robots equipped with multi-sensor technology for safe navigation in both indoor and outdoor environments. These robots facilitate last-mile delivery of food, groceries, and packages within a 3-mile radius, significantly reducing labor costs and improving operational efficiency for businesses.

Develops general-purpose footed robots designed for versatile mobility and task execution in diverse environments. These robots address challenges in automation and physical interaction by combining advanced locomotion systems with adaptable control algorithms, enabling applications in industries such as logistics, agriculture, and service.

Opteran develops neuromorphic software that mimics the brains of insects and animals, enabling autonomous machines to navigate complex environments without relying on GPS or extensive data collection. This technology provides robust and efficient localization in dynamic conditions, enhancing the operational capabilities of mobile robots in unstructured spaces.

Starship Technologies develops Level 4 autonomous delivery robots equipped with radars, cameras, and machine learning algorithms to navigate urban environments and complete deliveries. The company addresses the inefficiencies and high costs of last-mile delivery by providing a sustainable and affordable solution for transporting groceries, hot food, and industrial supplies across various locations.

ViaBot develops and deploys the RUNO robotic platform, which utilizes RTK GPS, Lidar, and computer vision for autonomous navigation in commercial property maintenance. The system addresses labor shortages and operational inefficiencies by providing self-charging, self-emptying robots that can perform various tasks, including cleaning and surveillance, without human intervention.

Robotise Technologies develops the JEEVES service robot, utilizing a cloud robotics IoT platform for autonomous mobile logistics in healthcare, hotels, and offices. This technology addresses labor shortages and enhances operational efficiency by automating material transport and touchless service delivery.

August Robotics develops autonomous robots, such as Lionel for construction layout marking and Diego for commercial disinfection, utilizing advanced navigation and UV-C light technology. These robots automate labor-intensive tasks, enhancing efficiency and safety in the construction, exhibition, and facilities management industries.

Neubility provides a Robot as a Service platform featuring self-driving delivery robots equipped with camera-based autonomous navigation technology. The company automates urban logistics by enabling efficient and reliable delivery services in densely populated areas, addressing the challenges of last-mile delivery in complex environments.

SAHA develops autonomous mobile service and delivery robots that utilize IoT technology and SAHA VSLAM for precise navigation in complex environments like hospitals and high-rise buildings. Their robots enhance operational efficiency by autonomously transporting packages and providing continuous service, significantly reducing the need for staff assistance and improving service speed.

This robotics company develops autonomous mobile robots integrated with artificial intelligence to enhance industrial process efficiency. By optimizing workflows, their technology enables industries to significantly lower operational costs and improve productivity.

Lume Robotics develops an autonomous mobility system that integrates LiDAR, radar, and GPS technologies to enable vehicles to navigate and operate without human intervention. This solution significantly reduces accidents by up to 94% and lowers operational costs by decreasing labor expenses by up to 75%.

Avular develops modular drone and mobile robotics platforms, including the Vertex One drone and Origin One robot, equipped with advanced autopilot technology for autonomous navigation. Their solutions enable the rapid integration of custom sensors and the automation of existing machinery, addressing the need for efficient and precise robotic applications in various industries.

SEQSENSE develops autonomous mobile security robots, specifically the SQ-2, which utilize real-time communication systems and advanced navigation capabilities to enhance security operations. This technology reduces the operational burden on security personnel while providing a safer and more efficient surveillance solution.

NODE Robotics provides plug-and-play software solutions for autonomous mobile robots, enabling seamless integration of localization, navigation, and fleet management technologies. This platform addresses the challenge of complex robot deployment by allowing OEMs to configure and operate diverse robotic systems without hardware modifications.

Cosin provides cost-effective, modular autonomous mobile robots (AMRs) designed for industrial and logistical applications. Their platform simplifies the deployment and management of automation, enabling businesses to enhance operational efficiency and throughput.

The startup develops autonomous robots designed for unpredictable environments, utilizing a Drobot as a Service (DRAAS) model that integrates cloud-based AI and multi-sensor attachments. This technology enables businesses to deploy adaptable robots for various tasks, enhancing operational efficiency in settings where traditional automation fails.

Sherpa Mobile Robotics designs and manufactures autonomous mobile robots (AMRs) that optimize intralogistics by automating the transport of goods, including pallets and containers, within industrial environments. Their solutions enhance productivity and safety by reducing manual handling and streamlining material flow, addressing labor shortages and inefficiencies in logistics operations.

arculus provides a modular autonomous mobile robot (AMR) platform with interchangeable payload modules and marker‑free ROS 2‑based SLAM for intra‑facility material transport. Its cloud‑enabled Fleet Manager, built in Rust and VDA5050‑compliant, offers real‑time task scheduling, fleet monitoring, and OTA updates through a web UI. The solution enables warehouses, distribution centers, and manufacturers to deploy and scale flexible robot fleets without proprietary hardware or floor markers.

Flowbotic designs and manufactures autonomous mobile robots (AMRs) equipped with artificial intelligence to enhance efficiency and safety in manufacturing and intra-logistics operations. Their technology enables manufacturers to automate material handling processes, reducing labor costs and increasing operational flexibility.

HYPR develops autonomous mobility systems utilizing advanced AI robotics to enhance transportation efficiency. The technology addresses the need for reliable and safe navigation in environments where traditional mobility solutions fall short.

E-COBOT manufactures autonomous mobile robots designed for logistics tasks in stores and warehouses, utilizing advanced artificial intelligence for navigation and task execution. Their solutions enhance operational efficiency by automating the transport of various items, such as packages and carts, thereby reducing manual labor and streamlining supply chain processes.

ECEON develops autonomous mobile robots equipped with advanced artificial intelligence and cognitive visioning technologies for intralogistics applications. These robots automate material handling tasks, reducing costs by up to 90% and increasing productivity by 200-300%, all without requiring prior user training.

Rover Robotics manufactures industrial-grade, ROS-enabled unmanned ground vehicles (UGVs) designed for applications such as autonomous inspection, mapping, and surveillance. Their customizable mobile robots provide a robust research platform that enhances operational efficiency in various industrial sectors.

The startup develops an autonomous mobile order pickup robot that utilizes depth cameras to track pre-registered objects in dynamic factory and warehouse environments. This technology enables continuous operation without fatigue, reducing labor costs and increasing productivity for clients.

Zeal Robotics develops autonomous mobile robots equipped with advanced navigation and control algorithms specifically designed for warehouse operations. These robots enhance operational efficiency by automating material handling tasks, reducing labor costs, and minimizing human error in inventory management.

OTSAW provides autonomous mobile robots for automating tasks within healthcare facilities, such as medication delivery and lab sample transport. Their robots improve efficiency and reduce manual labor in hospitals and pharmacies.

The startup develops mobile robots equipped with mechatronics, AI, and autonomous navigation to perform labor-intensive tasks in various environments. By utilizing advanced human-machine interaction techniques, these robots enhance operational efficiency and reduce the physical burden on workers.

The startup develops an autonomous delivery robot equipped with lidar-based obstacle detection and advanced maneuverability, enabling it to navigate complex terrains without relying on GPS. This technology enhances last-mile logistics by ensuring efficient delivery in environments where traditional navigation methods may fail.

The startup develops semi-autonomous mobile courier robots equipped with cameras and sensors for food delivery and shopping services. These robots enhance the delivery experience by navigating sidewalks autonomously, addressing the inefficiencies of traditional delivery methods.

Evolve Robotics provides an edge‑optimized perception stack for autonomous mobile robots in industrial facilities. The software fuses LiDAR, vision and IMU data to deliver centimeter‑level SLAM and real‑time dynamic obstacle detection, enabling safe navigation and predictive path planning without cloud reliance. It integrates via ROS 2, MQTT and gRPC, supporting heterogeneous robot fleets and fleet‑management systems.

This startup develops autonomous mobile robots that transport empty hospital beds, improving hospital logistics and bed availability. Their robots automate labor-intensive tasks, allowing healthcare staff to focus on critical patient care.

IPLUSMOBOT develops autonomous mobile robots (AMRs) designed for smart manufacturing logistics, enabling automated material handling and transport across various industrial sectors. Their solutions address inefficiencies in manual material distribution, enhancing productivity and reducing operational costs in environments such as electronics, pharmaceuticals, and manufacturing.

Robby Technologies is developing autonomous delivery robots equipped with advanced navigation and obstacle avoidance systems to transport food and packages directly to customers' doorsteps. This technology addresses the inefficiencies and delays associated with traditional delivery methods, enhancing convenience for users.

Ronavi Robotics provides Autonomous Mobile Robots as a Service (AMRaaS) designed for efficient warehouse operations, featuring a high payload capacity of up to 1500 kg and an open API for seamless integration with existing warehouse management systems. This solution enhances warehouse productivity while eliminating capital expenditures, ensuring maximum operational efficiency and uptime.

The startup develops autonomous mobile robots that utilize deep learning and simultaneous localization and mapping (SLAM) to navigate and operate in home environments. By integrating free space segmentation technology, these robots can identify and adapt to movable floor areas, providing tailored solutions for various household tasks.