AMR is a type of robot that can understand and move through its environment independently. AMR differ from their predecessors, autonomous guided vehicles (AGVs), which rely on tracks or predefined paths and often require operator oversight.
An Autonomous Mobile Robot (AMR) like TIAGo Base uses a sophisticated set of sensors, artificial intelligence, machine learning, and compute for path planning to interpret and navigate through their environment, untethered from wired power. Because AMRs are equipped with cameras and sensors, if they experience an unexpected obstacle while navigating their environments, such as a fallen box or a crowd of people, they will use a navigation technique like collision avoidance to slow, stop, or reroute their path around the object and then continue with their task.
