Wikipedia

Draft:Autonomous Mobile Robot

  • Comment: What is this??? "Because the AMR market changes rapidly and promotional claims are common in vendor materials, encyclopedic treatment usually relies on standards documents, review literature, and independent reporting rather than company rankings or marketing descriptions." —pythoncoder (talk | contribs) 10:05, 2 May 2026 (UTC)

An autonomous mobile robot (AMR) is a mobile robot that navigates and performs transport or service tasks with a degree of autonomy in structured or semi-structured environments. In industrial and intralogistics contexts, AMRs are distinguished from automated guided vehicles (AGVs) by their ability to sense their surroundings and plan or modify routes in response to environmental conditions, rather than following fixed guidepaths.[1][2]

AMRs are used in warehousing, manufacturing, hospitals, and other professional service settings. Definitions vary among standards bodies and industry sources.[3][4]

Terminology and definition

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In technical literature, AMRs are described as mobile robots capable of sensing their environment, localizing themselves, and planning or replanning motion to reach destinations while avoiding obstacles.[1][2]

The boundary between an AMR and an AGV varies across sources. Some standards group both under broader categories such as driverless industrial trucks or industrial mobile robots, while industry usage typically treats AMRs as a more adaptive class of mobile robot operating in dynamic environments.[3][4]

History

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Research on mobile robots predates the term autonomous mobile robot. Earlier literature on mobile robotics in manufacturing and automation addressed vehicle guidance, localization, control, and safe interaction with humans, often in relation to AGVs and other mobile systems.[1]

Commercial adoption of AMRs accelerated in the 2010s and 2020s, particularly in warehousing, manufacturing, logistics, and healthcare. Industry sources have attributed this growth to advances in onboard computing, sensing, vision systems, software, and real-time navigation capabilities.[5]

Core technologies

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AMR systems combine technical functions including environmental perception, localization, mapping, path planning, obstacle avoidance, motion control, and fleet coordination.[1][2]

Perception, localization, and mapping

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AMRs use onboard sensors to perceive their surroundings and estimate their position. These may include lidar, cameras, inertial sensors, and wheel odometry. Mapping and localization are core components of autonomous navigation.[1]

Path planning and obstacle avoidance

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Path planning is commonly divided into global and local planning. Global planning computes routes from known maps or other prior information; local planning and obstacle avoidance respond to nearby obstacles and changing conditions during execution. Many AMR navigation stacks combine global planning with local reactive methods.[6]

Fleet management and coordination

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In multi-robot deployments, AMRs are coordinated through fleet management systems that assign tasks, monitor robot status, and manage traffic and route conflicts. Dispatching, routing, charging, congestion handling, and interaction with external systems are recognized planning and control problems in large AMR fleets.[2]

Relationship with AGVs

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AGVs are typically described as vehicles that follow predefined physical or virtual routes and stop when blocked, whereas AMRs can dynamically plan or modify paths based on environmental conditions. The distinction is not absolute, and some standards treat both as members of a broader family of driverless mobile systems.[2][3][4]

Applications

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AMRs are used in professional and industrial environments where materials, goods, or supplies must be moved with flexibility. Application domains discussed in the literature include manufacturing, warehousing, intralogistics, hospitals and healthcare, and other professional service settings.[1][2][5]

Manufacturing and intralogistics

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In manufacturing and intralogistics, AMRs are used for internal transport, replenishment, work-in-process movement, and coordination with other automation systems. Their use is associated with layout flexibility and operation in changing environments without dependence on fixed guidepaths.[1][7]

Warehousing and logistics

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In warehouses and distribution environments, AMRs are deployed for order fulfillment, goods transport, pallet movement, and fleet-based material handling. Intralogistics literature identifies such deployments as a major area of AMR adoption, particularly where routing flexibility and scalable fleet coordination are required.[2][7]

Healthcare

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In healthcare and hospital logistics, AMRs support the movement of supplies, medications, specimens, meals, and other materials. Reviews of AMRs in intralogistics and service robotics identify hospitals among prominent deployment settings.[2][5]

Safety, standards, and regulation

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Safety considerations apply to AMR deployment, particularly in environments where robots operate around people, manually driven vehicles, racks, conveyors, or other automated equipment. Reviews of mobile robots for manufacturing have addressed both the technical and operational aspects of safe operation, including navigation, control, and human–robot interaction.[1]

ISO 3691-4 specifies safety requirements and verification methods for driverless industrial trucks and their systems, and lists autonomous mobile robot among the examples covered.[3]

In the United States, the ANSI/A3 R15.08 series addresses safety requirements for industrial mobile robots. ANSI/A3 R15.08-2:2023 describes IMR Type A as an AMR without attachments; other categories include AMRs with attachments and systems incorporating manipulators.[4]

Limitations and challenges

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Reviews have identified challenges related to navigation in dynamic environments, robustness of perception and localization, traffic management in dense fleets, charging and scheduling, software integration with surrounding systems, and validation of safe operation around people and other equipment.[7][2]

Reviews of AMR path planning and obstacle avoidance note that performance can degrade in crowded or uncertain environments, and that practical deployments often combine multiple planning, sensing, and control methods rather than relying on a single algorithm.[6]

In application-specific systems such as autonomous forklifts, additional challenges include payload-dependent dynamics, precise pallet handling, and safety requirements in mixed human–vehicle environments.[8]

Industry and commercialization

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Commercialization of AMRs has expanded across manufacturing, warehousing, intralogistics, healthcare, and professional service applications. Trade and industry coverage has reported on vendors including Mobile Industrial Robots (MiR), Locus Robotics, OTTO Motors, and Pudu Robotics in connection with AMR deployments and product development.[9][10][11][12][13]

See also

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References

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  1. 1 2 3 4 5 6 7 8 Shneier, Michael O.; Bostelman, Roger V. (2015). Literature Review of Mobile Robots for Manufacturing (Report). NISTIR 8022. National Institute of Standards and Technology. doi:10.6028/NIST.IR.8022.
  2. 1 2 3 4 5 6 7 8 9 Fragapane, Giuseppe; de Koster, René B. M.; Sgarbossa, Fabio; Strandhagen, Jo Wessel (2021). "Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda". European Journal of Operational Research. 294 (2): 405–426. doi:10.1016/j.ejor.2021.01.019.
  3. 1 2 3 4 "ISO 3691-4:2023 – Industrial trucks — Safety requirements and verification — Part 4: Driverless industrial trucks and their systems". ISO. Retrieved 2026-04-16.
  4. 1 2 3 4 "ANSI/A3 R15.08-2-2023 – Industrial Mobile Robots – Safety Requirements – Part 2: Requirements for IMR system(s) and IMR application(s)". ANSI Webstore. Retrieved 2026-04-16.
  5. 1 2 3 "Mobile Robots Revolutionize Industry". International Federation of Robotics. 2021-08-05. Retrieved 2026-04-16.
  6. 1 2 Katona, Kornél; Neamah, Husam A.; Korondi, Péter (2024). "Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot". Sensors. 24 (11) 3573. Bibcode:2024Senso..24.3573K. doi:10.3390/s24113573. PMC 11175283. PMID 38894362.
  7. 1 2 3 Lackner, Thorge; Hermann, Julian; Kuhn, Christian; Palm, Daniel (2024). "Review of autonomous mobile robots in intralogistics: state-of-the-art, limitations and research gaps". Procedia CIRP. 130: 930–935. doi:10.1016/j.procir.2024.10.187.
  8. ↑ Patil, Aditya Dilip (2026). "Autonomous Forklifts for Warehouse Automation: A Comprehensive Review". Robotics. 15 (2) 30. doi:10.3390/robotics15020030.
  9. ↑ "MiR launches two heavy-duty autonomous mobile robots". The Robot Report. 2021-08-12. Retrieved 2026-04-16.
  10. ↑ "Locus Robotics raises $117M for autonomous mobile robots". The Robot Report. 2022-11-29. Retrieved 2026-04-16.
  11. ↑ "Pioneering Robot "OTTO" Wins the 2025 IERA Award". International Federation of Robotics. 2025-11-19. Retrieved 2026-04-16.
  12. ↑ "PUDU T300 marks Pudu's move from service to industrial robots". The Robot Report. 2024-04-22. Retrieved 2026-04-16.
  13. ↑ "Pudutech closes $78M in series C funding for autonomous mobile robots". The Robot Report. 2021-05-17. Retrieved 2026-04-16.
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