Whether as practical automated guided carts, rolling assembly platforms, or massive self-driving container tank transporters, automated guided vehicles (AGVs) in all possible designs have become indispensable elements in modern production processes that follow the Industry 4.0 principle. They help to make everyday work significantly easier, preserve existing resources, and speed up transport processes considerably. They differ widely in appearance, and the technologies that enable the vehicles to work automatically or autonomously are highly diverse. RFID is often used, and when applied intelligently, this radio-based identification method can perform numerous tasks on the AGV. This blog article presents three possible versions.
Autonomous mobile robots, AMRs, typically use LiDAR sensors for the detection of objects. These sensors emit light and rely on a reflection to measure the distance to a particular surface. This is a great method for detecting solid objects but can create challenges when surrounded by transparent materials like glass. In these cases, the emitted light can pass through the material and cause collisions or false readings and loss of position. This type of false reading can result in product damage, downtime, or human injury.
Mobile robots typically use some version of a LiDAR sensor for navigation. LiDAR, which stands for light detection and ranging, is a remote sensing method that measures variable distances using light in the form of a pulsed laser. LiDAR helps localize, navigate, and avoid obstacles so the robot can perceive surroundings and select a collision-free path. As new industries continue to adopt mobile robots, they must be able to navigate new, dynamic environments. One of the challenges in these environments is navigating around drop-offs or cliffs, also known as negative obstacles.