Top 50 Autonomous Mobile Robot in Asia

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.

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.

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.

Geek+ provides autonomous mobile robots and a unified software platform that automate shelf‑to‑person, tote‑to‑person, pallet‑to‑person and sorting workflows in warehouses and distribution centers. Its robots use laser SLAM, QR‑code navigation and AI perception, while the WES/RMS/IOP suite manages fleet scheduling, task allocation and ERP/WMS integration to increase throughput and storage density.

Bottobo Robotics develops autonomous mobile robots, Pixer and Flux, designed for efficient material handling in warehouses, capable of lifting loads up to 1 ton. Their proprietary Warehouse Intelligence System integrates with existing WMS/ERP platforms to optimize supply chain operations and enhance productivity without downtime.

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.

Botsync develops autonomous mobile robots and a no-code automation platform, syncOSTM, to facilitate flexible material movement in logistics and manufacturing operations. This technology enables manufacturers to adapt their processes quickly to meet changing consumer demands while minimizing the need for complex integrations.

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.

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.

Gole Robotics develops lightweight autonomous robots designed for the efficient transportation of construction materials on job sites. Their technology addresses the challenge of labor shortages and material handling inefficiencies in the construction industry, enhancing productivity and safety.

Delivers.ai develops proprietary camera-based autonomous delivery robots that utilize sensor fusion technology to navigate urban environments for the contactless delivery of food, groceries, and parcels. This solution addresses the inefficiencies and high costs associated with traditional last-mile delivery methods, enabling faster and more cost-effective service.

Roborock manufactures autonomous robot vacuums and mops that use LiDAR navigation, AI obstacle detection, and high‑power suction to clean carpets, hard floors, and perform wet mopping. The units connect to a mobile app and major smart‑home assistants for scheduled cleaning, map editing, and auto‑empty docking with optional mop‑removal and water‑refill. They are aimed at households and small offices that need hands‑free, multi‑surface floor maintenance.

UBTECH provides an integrated robotics platform that combines humanoid (Walker) and wheeled (Cruzr) service robots with AI‑driven software built on its ROSA framework. The hardware offers autonomous navigation, SLAM, high‑torque manipulation and cloud‑connected perception, while the uKit AI/Explore kits deliver curriculum‑aligned programming tools for K‑12 and higher‑education. This full‑stack solution enables enterprises in logistics, manufacturing, healthcare and retail to deploy automation quickly and supports hands‑on AI education.

LionsBot designs and manufactures autonomous cleaning robots equipped with AI-powered SmartClean technology to enhance the efficiency of cleaning operations in commercial, industrial, and public spaces. By providing a reliable and easy-to-use solution, the company addresses the shortage of cleaning staff while delivering consistent cleaning results and significant cost savings.

Swaayatt Robots develops self-driving technology utilizing reinforcement learning to navigate complex and unpredictable traffic environments without the need for high-definition mapping. Their solutions aim to enhance the safety and efficiency of autonomous vehicles, making connected driving technology more accessible and cost-effective.

The startup operates a fully autonomous robotic store factory built on a forty-foot container platform, enabling scalable and mobile fast food operations. This model provides companies with the ability to deliver fresh, flavorful, and healthy meals efficiently, meeting the growing consumer demand for quality fast food.

The startup develops autonomous vehicle systems that utilize driverless software for mapping, localization, perception, navigation, and vehicle control. These systems enable vehicles to operate autonomously for applications such as first and last-mile transportation, logistics, and utility services, enhancing urban mobility and efficiency.

The startup develops a connectivity platform that utilizes cellular bonding and dynamic encoding to enable high-speed, low-latency transmission of video, audio, and control data for teleoperating autonomous vehicles. This technology allows clients to remotely control autonomous trucks, delivery robots, and last-mile delivery vehicles with reliability and ease.

Sakar Robotics develops mobile robotics and machine vision technologies to enhance inspection and decision-making processes across industries such as railways, construction, and manufacturing. Their solutions provide automated, cost-effective, and agile systems that improve operational efficiency and reliability in dynamic environments.

RoboDeck is developing an autonomous robot that maps, cleans, and stains outdoor wooden decks, providing year-round maintenance without the need for downtime. This technology reduces maintenance costs and enhances deck longevity by delivering consistent care every two months, preventing the need for costly restorations.

Kisui develops autonomous agricultural robots and a digital farm management platform to address labor shortages and improve efficiency. Their AI-powered robots automate field operations like cultivation and harvesting, while the MyNojo platform provides data-driven insights for optimized crop management.

Develops autonomous off-road robots equipped with AI-driven robotic vision and neural network-based control systems, enabling rapid adaptation to real-world environments. These robots are designed for industrial and agricultural applications, improving efficiency and reducing operational challenges in outdoor settings.

Peppermint Robotics designs autonomous cleaning robots equipped with real-time data analytics and intelligent navigation systems for commercial and industrial applications. These robots address labor-intensive cleaning tasks, enhancing operational efficiency while minimizing water and energy consumption.

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%.

Janyu Technologies designs and manufactures portable mobile robots that enhance safety and efficiency in various industries, including manufacturing, defense, and healthcare. Their solutions specifically address the risks associated with human labor in hazardous environments, ensuring compliance with safety standards and improving operational productivity.

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.

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.

Dexterity-SC Japan deploys AI-powered mobile robots to automate complex logistics operations like picking, palletizing, and truck loading. Their Dexterity AI Platform enables robots to handle diverse items with precision, addressing labor shortages and optimizing warehouse efficiency.

Navifra develops self-driving logistics robots equipped with a proprietary SLAM and navigation system, enabling precise control within manufacturing environments. Their integrated robot control system allows for the simultaneous management of over 100 robots, enhancing operational efficiency and reducing the reliance on manual labor in hazardous tasks.

This startup provides last-mile delivery services using autonomous robots and drones. Their platform manages a fleet of these vehicles to offer on-demand cargo delivery, aiming to reduce urban traffic congestion and emissions.

Provides a plug-and-play operating system for fifth-generation robots, enabling autonomous operation, self-learning capabilities, and fleet or swarm coordination. The no-code/low-code integration simplifies deployment and customization, reducing development time and complexity for robotic systems in various industries.

The startup develops a peer-to-peer delivery platform that integrates robotics automation and data analytics for autonomous final-mile delivery. This technology enables clients to reduce operational costs and improve delivery efficiency while promoting sustainability in urban environments.

The startup develops electric driverless delivery robots designed for both indoor and outdoor environments, utilizing advanced navigation and robotics technology to transport food, beverages, groceries, and retail products. These robots reduce carbon emissions and minimize person-to-person contact during deliveries, addressing the need for safer and more sustainable logistics solutions.

The startup develops a robotic system that utilizes autonomous movement technology and multi-robot control software to enhance operational efficiency in e-commerce warehouses. This technology reduces labor intensity and increases throughput, addressing the challenges of high demand and workforce limitations in logistics.

SoftRoid develops a software robot that autonomously patrols construction sites to gather and analyze real-time data on site conditions and progress. This technology enhances project oversight and decision-making by providing accurate, timely information, reducing delays and inefficiencies in construction management.

The startup develops an autonomous vegetable harvesting robot that utilizes artificial intelligence and robotics to perform tasks requiring human judgment in agriculture. This technology addresses labor shortages and enhances agricultural management by increasing efficiency in the harvesting process.

ERIC Robotics develops autonomous mobile robots and drones equipped with machine learning and computer vision technologies for industrial inspection and monitoring. Their solutions enhance operational efficiency and safety by automating facility audits and aerial inspections, addressing the challenges of compliance and anomaly detection in manufacturing environments.

The startup develops autonomous navigation technology that enhances spatial understanding in environments where GPS is unavailable, utilizing custom computer vision algorithms and visual-inertial data fusion for accurate mapping. This technology enables drones and robots to operate efficiently and safely in complex settings, benefiting industries such as logistics and construction.

This startup develops artificial intelligence robotics solutions that utilize deep learning, object recognition, reinforcement learning, and unsupervised learning to create fully autonomous robots. By enhancing robotic vision and sensory systems, the company enables industries to automate operations, reducing reliance on human intervention.

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.

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 intelligent robots that perform autonomous tasks such as random box palletizing and stuffing, utilizing advanced machine learning algorithms for real-time decision-making. This technology enables logistics companies to automate operations, enhancing efficiency and safety in their supply chain processes.

Sequor Robotics provides a pre‑trained, multimodal robotics foundation model that unifies perception, planning, and control for mobile, quadrupedal, and humanoid platforms. The model can be fine‑tuned with a few hundred labeled examples via an edge‑optimized runtime and ROS‑compatible API, supporting simulation‑to‑real transfer, safety verification, and continuous online learning. It enables robot manufacturers, system integrators, and research labs to reduce integration time and AI engineering effort.

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.

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.