Autonomous Mobile Robots (AMRs) are intelligent, self-navigating robotic vehicles engineered to independently transport materials or perform tasks within dynamic environments—without direct human intervention or reliance on physical guidance infrastructure like magnetic tape, tracks, or reflectors.

Equipped with a suite of advanced sensors (such as LiDAR, cameras, and distance sensors), robust onboard computing, and artificial intelligence algorithms, AMRs can perceive and interpret their surroundings in real time, enabling them to:

• Map and localize themselves within an environment

• Dynamically avoid obstacles (including people and unexpected objects)

• Select the most efficient path to their destination, adapting in the moment as situations change.

Key features distinguishing AMRs from Automated Guided Vehicles (AGVs):

• Autonomy: AMRs make real-time decisions to reroute or adjust their path, while AGVs follow fixed, pre-defined routes.

• Flexibility: AMRs require no infrastructure modifications, making them deployable in evolving or complex spaces such as warehouses, factories, distribution centers, and even public areas.

• Scalability: Their software-driven navigation enables simple reprogramming, allowing rapid adaptation to new workflows or layout changes.

AMRs are widely used for automating material movement in logistics and manufacturing, order picking in warehouses, and many other contexts where safe, efficient, and flexible robot mobility is required.