Autonomous Mobile Robot (AMR)

An autonomous mobile robot (AMR) navigates a facility using onboard sensors, maps and path planning, choosing its own routes and avoiding obstacles, rather than following fixed physical guides like a traditional AGV.

AMRs combine lidar, cameras and other sensors with localisation, often on maps built by SLAM, and plan routes to destinations assigned by a fleet manager. When a path is blocked they slow down, stop or replan around the obstacle. Variants include tuggers, cart movers, shelf-lifting robots, pallet movers and mobile manipulators, which carry a robot arm.

AMRs move materials between warehouse locations, production lines and stores, deliver kits to assembly stations and bring goods to pickers in goods-to-person systems. Because routes are defined in software, layouts can change without new floor infrastructure, which suits high-mix operations.

Mixed traffic with people and forklifts requires safety-rated scanners, speed limits and clear traffic rules. ISO 3691-4 sets safety requirements for driverless industrial trucks and their systems, and ANSI/RIA R15.08 addresses industrial mobile robots in the United States. Integration with warehouse and execution systems, wireless coverage, charging and floor condition often determine project success.

Key points

Navigates with onboard sensors, maps and dynamic path planning
Routes change in software without floor infrastructure
Mobile manipulators combine an AMR with a robot arm
ISO 3691-4 covers safety of driverless industrial trucks

Where AiVibe comes in

AiVibe designs and manufactures the AiAmbA AI Factory, whose edge devices and AI agents let people talk to robot controllers in plain language. Robotics perception is an AiAmbA use case, and robot safety functions follow ISO 10218 and never depend on the AI layer.

Explore AiVibe’s work in Robotics & Physical AI →

Related terms

Terms that refer to Autonomous Mobile Robot (AMR)

3D Machine VisionRobotics & Physical AI