AGV Navigation
Tape, wire, magnetic spots, reflectors, lasers, or defined guidance paths create repeatable routes.
AGV vs AMR
Automatic guided vehicles generally follow defined routes, while autonomous mobile robots use onboard sensing and mapping to navigate more flexibly around changing environments.
Overview
AGVs and AMRs can transport pallets, carts, totes, components, tools, waste, and work in process. The best choice depends on route stability, load, traffic, floor conditions, interaction with people, integration, charging, fleet size, and the cost of changing the layout.
Core Concepts
These categories provide a consistent framework for system design, selection, validation, operation, and long-term support.
Tape, wire, magnetic spots, reflectors, lasers, or defined guidance paths create repeatable routes.
Onboard mapping, localization, lidar, cameras, and sensors allow dynamic path planning.
Forks, conveyors, lifts, tuggers, carts, racks, and custom tooling transfer different unit loads.
Floor markings, reflectors, charging, doors, Wi-Fi, traffic controls, and pickup stations support operation.
Scanners, bumpers, speed zones, warning devices, safe stopping, and risk assessment protect people and equipment.
Software assigns missions, manages traffic, priorities, congestion, charging, and vehicle status.
Interfaces coordinate production systems, conveyors, machines, warehouse software, elevators, and doors.
Vehicles, infrastructure, software, batteries, support, maintenance, spares, and layout changes affect total cost.
AGVs work well in stable facilities with repetitive routes, predictable pickup points, controlled intersections, and long operating periods. Guided paths can simplify behavior and make traffic highly repeatable.
They may also be preferred for heavy loads, specialized vehicles, or environments where a clearly defined route is operationally desirable.
AMRs can reroute around obstacles and adapt more easily when production layouts, destinations, or priorities change. They are useful where facilities need scalable point-to-point movement without installing a fixed path for every route.
Flexibility still depends on floor quality, map accuracy, network coverage, safe aisle space, traffic rules, and well-designed pickup and drop-off stations.
Mobile robots share space with pedestrians, forklifts, carts, doors, blind corners, and production equipment. Risk assessment should address speed, load stability, stopping distance, intersections, charging, manual recovery, and foreseeable misuse.
A flexible navigation system does not eliminate the need for traffic rules. Congestion, blocked stations, narrow aisles, and uncontrolled forklift activity can reduce throughput and create risk.
Vehicle count should be based on travel distance, speed, load and unload time, wait time, congestion, charging, availability, and peak mission demand. Average demand alone may understate the fleet required during shift changes or production surges.
Simulation or pilot testing can help evaluate routes, station design, traffic, battery strategy, and expected mission completion time.
Implementation Checklist
Use these areas to translate the use case into technical requirements, acceptance criteria, documentation, controls, and lifecycle support.
Document origins, destinations, routes, distances, traffic, mission frequency, and peak demand.
Specify weight, dimensions, stability, orientation, pallet or cart type, and transfer method.
Compare fixed guidance, natural-feature navigation, mapping, obstacle response, and layout change.
Assess pedestrians, forklifts, intersections, doors, blind spots, speed zones, and manual recovery.
Define fleet software, WMS, MES, ERP, PLCs, conveyors, machines, doors, and elevators.
Plan batteries, chargers, spares, service, software licensing, cybersecurity, training, and expansion.
Related Manufacturing Yield Resources
These internal pages connect controls, robotics, machine vision, mobile automation, data systems, and factory operations.
Outside Industry Resources
These external links are limited to closely related inspection, mobile-robot, material-handling, sensing, data-acquisition, and automation resources.
Frequently Asked Questions
AGVs generally follow defined guidance paths, while AMRs use onboard sensing and mapping to navigate and reroute more flexibly.
No. AGVs can be a better fit for stable routes, specialized heavy loads, and facilities that value highly predictable guided movement.
Fleet size depends on travel distance, mission rate, load time, traffic, charging, availability, and peak demand rather than average demand alone.
Continue into factory automation, PLCs, robotics, machine vision, mobile robots, industrial data, and related manufacturing resources.
View Manufacturing Resources