AGV vs AMR: Key Differences for Warehouse Automation

AGVs and AMRs are often mentioned in the same breath, but they represent fundamentally different approaches to warehouse mobile robotics — one relies on fixed guidance infrastructure, the other on dynamic, sensor-driven navigation. Choosing between them (or combining both) has direct consequences for cost, flexibility, and deployment time.

An AGV follows a predetermined path defined by physical or fixed digital markers — wire, magnetic tape, floor paint, or reflective targets. An AMR builds its own map of the environment using onboard sensors (LiDAR, cameras) and computes routes dynamically, adjusting in real time to obstacles or layout changes. This single distinction cascades into nearly every practical difference between the two technologies.

• AGV — higher initial infrastructure cost (installing wire or targets), longer commissioning time, but often lower per-unit robot cost.
• AMR — minimal infrastructure work, faster commissioning (often days rather than weeks), but typically higher per-unit robot cost and dependency on fleet software licensing.

Adding a new AGV route generally means physically extending guidance infrastructure. Adding an AMR route is largely a software and mapping exercise. This makes AMRs the better fit for facilities expecting frequent layout changes, seasonal reconfiguration, or phased automation rollouts, while AGVs suit stable, high-volume corridors that rarely change.

Both technologies must meet relevant safety standards for operating near people, but AMRs are generally designed with more sophisticated dynamic obstacle detection, making them better suited to shared floor space with pedestrian traffic. AGVs are often deployed in more controlled corridors with defined pedestrian exclusion zones.

The decision usually comes down to layout stability and task variability:

• Choose AGVs for fixed, high-repetition, high-volume trunk routes in a stable layout.
• Choose AMRs for variable tasks, frequently changing layouts, or environments requiring close coexistence with human workers.
• Many mature operations run a hybrid fleet — AGVs for bulk transport backbones and AMRs for flexible, last-meter or pick-support tasks.