Generally, images are the input of what we call visual SLAM. Plus, it features points that are detected in the form of landmarks. On the other hand, the output of visual SLAM is Localization and mapping. Although SLAM has a number of requirements, the most common one is the range measurement device. This allows a method that allows you to observe the environment near the robot. There are many forms of measurement, but the most effective one is LiDAR, which is a laser scanner. Another primary process involves acquiring data regarding the environment around the robot. The inventor of SLAM is Marc Kelly Smith who came up with the concept in the 1980s in Illinois. He was a local poet cum construction worker. Kelly felt that poetry and its readings have lost their passion.
Simultaneous Localisation and Mapping is a powerful technology that enables a particular device to map the surroundings and decide on its positioning at the same time. This is a type of software program that allows easy transitioning from Automated Guided Vehicles (AGVs) to different types of Autonomous Mobile Robots (AMRs). In short, these are just some of the main questions about SLAM technology. Hopefully, the answers to these questions will help you develop your understanding of the concept.