AGVs (Automated Guided Vehicles) are widely used products for automating internal transport, specifically for moving material in logistics.

Today, they are increasingly being replaced by AMRs (Autonomous Mobile Robots), which are an evolution of AGVs, but have much more advanced technologies and localization logic.

An AGV requires major work on the infrastructure, having to integrate magnetic and/or colored bands or reflecting mirrors and defining the route to be followed very strictly. Although it can detect obstacles in its path, it cannot avoid them, so it stops until the obstacle is removed.

In contrast, AMRs overcome these limitations because they use laser scanners and 3D cameras, reconstructing the operating scenario through maps loaded directly onto the robot: they are able to define in real time the optimal path to follow, recognize and avoid obstacles, and autonomously plan an alternative trajectory. As they do not require even costly modifications to the plant, they have easier and faster integration and higher efficiency.

While AGV applications are limited, as its mission remains the same throughout its operation time, an AMR on the other hand can perform different and new tasks within the production line with only minor software changes, ensuring complete control of the robot and its functions.

The AGVs are fixed and follow predefined paths using lasers, barcodes or magnetic tapes.

AMRs are able to understand the environment and move autonomously, without infrastructure for navigation, making implementation simple and highly scalable.